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AI
for Advancing Scientific Discovery for a Sustainable Future (page
1)
Carla P. Gomes, Cornell University
Automatic
Curricula in Deep Multi-Agent Reinforcement Learning (page
2)
Thore Graepel, Google DeepMind
Building
Cities from Slime Mould, Agents and Quantum Field Theory (page
3)
Alison Heppenstall, University of Leeds
Nick Malleson, University of Leeds
Unsupervised
Reinforcement Learning (page
5)
Sergey Levine, University of California, Berkeley
Reconfigurable
Interaction for MAS Modelling (page
7)
Yehia Abd Alrahman, University of Gothenburg
Giuseppe Perelli, Sapienza University of Rome
Nir Piterman, University of Gothenburg
Elessar:
Ethics in Norm-Aware Agents (page
16)
Nirav Ajmeri, North Carolina State University
Hui Guo, North Carolina State University
Pradeep K. Murukannaiah, Delft University of Technology
Munindar P. Singh, North Carolina State University
Formal
Verification of Neural Agents in Non-deterministic Environments (page
25)
Michael E. Akintunde, Imperial College London
Elena Botoeva, Imperial College London
Panagiotis Kouvaros, Imperial College London
Alessio Lomuscio, Imperial College London
Explainable
Multi Agent Path Finding (page
34)
Shaull Almagor, Technion - Israel Institute of Technology
Morteza Lahijanian, University of Colorado Boulder
Rational
vs Byzantine Players in Consensus-based Blockchains (page
43)
Yackolley Amoussou-Guenou, CEA LIST, PC 174 and Sorbonne Université,
CNRS, LIP6
Bruno Biais, HEC Paris
Maria Potop-Butucaru, Sorbonne Université, CNRS, LIP6
Sara Tucci-Piergiovanni, CEA LIST, PC 174
Strategic
Decision-Making for Power Network Investments with Distributed Renewable
Generation (page
52)
Merlinda Andoni, Heriot-Watt University
Valentin Robu, Heriot-Watt University
Wolf-Gerrit Fruh, Heriot-Watt University
David Flynn, School of Engineering & Physical Sciences
A
Design-Methodology for Epidemic Dynamics via Time-Varying Hypergraphs (page
61)
Alessia Antelmi, Universitŕ degli Studi di Salerno
Gennaro Cordasco, Universitŕ della Campania "Luigi Vanvitelli"
Carmine Spagnuolo, Universitŕ degli Studi di Salerno
Vittorio Scarano, Universitŕ degli Studi di Salerno
A
General Framework for Energy-Efficient Cloud Computing Mechanisms (page
70)
Antonios Antoniadis, Saarland University and Max-Planck-Institut für
Informatik
Andrés Cristi, Universidad de Chile
Tim Oosterwijk, Maastricht University
Alkmini Sgouritsa, University of Liverpool
Improved
Algorithms for Learning Equilibria in Simulation-Based Games (page
79)
Enrique Areyan Viqueira, Brown University
Cyrus Cousins, Brown University
Amy Greenwald, Brown University
Learning
an Interpretable Traffic Signal Control Policy (page
88)
James Ault, Texas A&M University
Josiah P. Hanna, University of Edinburgh
Guni Sharon, Texas A&M University
Summer
Internship Matching with Funding Constraints (page
97)
Haris Aziz, University of New South Wales & Data61 CSIRO
Anton Baychkov, University of Sydney
Péter Biró, Hungarian Academy of Sciences
HMMs
for Anomaly Detection in Autonomous Robots (page
105)
Davide Azzalini, Politecnico di Milano
Alberto Castellini, University of Verona
Matteo Luperto, Universitŕ degli Studi di Milano
Alessandro Farinelli, University of Verona
Francesco Amigoni, Politecnico di Milano
Peer
Reviewing in Participatory Guarantee Systems: Modelisation and Algorithmic
Aspects (page
114)
Nathanaël Barrot, RIKEN AIP & Kyushu University
Sylvaine Lemeilleur, CIRAD
Nicolas Paget, CIRAD
Abdallah Saffidine, The University of New South Wales
Learning
to Optimize Autonomy in Competence-Aware Systems (page
123)
Connor Basich, University of Massachusetts, Amherst
Justin Svegliato, University of Massachusetts, Amherst
Kyle Hollins Wray, Alliance Innovation Lab Silicon Valley
Stefan Witwicki, Alliance Innovation Lab Silicon Valley
Joydeep Biswas, The University of Texas at Austin
Shlomo Zilberstein, University of Massachusetts, Amherst
Manipulation
of Opinion Polls to Influence Iterative Elections (page
132)
Dorothea Baumeister, Heinrich-Heine-Universität Düsseldorf
Ann-Kathrin Selker, Heinrich-Heine-Universität Düsseldorf
Anaëlle Wilczynski, Technical University of Munich
Optimising
Game Tactics for Football (page
141)
Ryan Beal, University of Southampton
Georgios Chalkiadakis, Technical University of Crete
Timothy J. Norman, University of Southampton
Sarvapali D. Ramchurn, University of Southampton
Candidate
Selections with Proportional Fairness Constraints (page
150)
Xiaohui Bei, Nanyang Technological University
Shengxin Liu, Nanyang Technological University
Chung Keung Poon, The Hang Seng University of Hong Kong
Hongao Wang, Nanyang Technological University
Multi-Agent
Path Finding in Configurable Environments (page
159)
Matteo Bellusci, Politecnico di Milano
Nicola Basilico, Universitŕ degli Studi di Milano
Francesco Amigoni, Politecnico di Milano
Automated
Justification of Collective Decisions via Constraint Solving (page
168)
Arthur Boixel, University of Amsterdam
Ulle Endriss, University of Amsterdam
Input
Addition and Deletion in Reinforcement: Towards Learning with Structural
Changes (page
177)
Iago Bonnici, LIRMM, Université de Montpellier, CNRS
Abdelkader Gouaďch, LIRMM, Université de Montpellier, CNRS
Fabien Michel, LIRMM, Université de Montpellier, CNRS
Majority-Strategyproofness
in Judgment Aggregation (page
186)
Sirin Botan, University of Amsterdam
Ulle Endriss, University of Amsterdam
Finding
and Recognizing Popular Coalition Structures (page
195)
Felix Brandt, Technische Universität München
Martin Bullinger, Technische Universität München
Fair
Allocation of Resources with Uncertain Availability (page
204)
Jan Buermann, University of Southampton
Enrico H. Gerding, University of Southampton
Baharak Rastegari, University of Southampton
Pareto-Optimality
in Cardinal Hedonic Games (page
213)
Martin Bullinger, Technische Universität München
Task
Allocation Strategy for Heterogeneous Robot Teams in Offshore Missions (page
222)
Yaniel Carreno, Heriot-Watt University & University of Edinburgh
Čric Pairet, Heriot-Watt University & University of Edinburgh
Yvan Petillot, Heriot-Watt University
Ronald P. A. Petrick, Heriot-Watt University
Weighted
Envy-Freeness in Indivisible Item Allocation (page
231)
Mithun Chakraborty, University of Michigan - Ann Arbor
Ayumi Igarashi, University of Tokyo
Warut Suksompong, University of Oxford
Yair Zick, National University of Singapore
Schelling
Models with Localized Social Influence: A Game-Theoretic Framework (page
240)
Hau Chan, University of Nebraska-Lincoln
Mohammad T. Irfan, Bowdoin College
Cuong Viet Than, University of Nebraska-Lincoln
RMB-DPOP:
Refining MB-DPOP by Reducing Redundant Inference (page
249)
Ziyu Chen, Chongqing University
Wenxin Zhang, Chongqing University
Yanchen Deng, Chongqing University
Dingding Chen, Chongqing University
Qiang Li, Chongqing University
Refinement
for Multiagent Protocols (page
258)
Samuel H. Christie, V, North Carolina State University
Amit K. Chopra, Lancaster University
Munindar P. Singh, North Carolina State University
Policy
Synthesis for Factored MDPs with Graph Temporal Logic Specifications (page
267)
Murat Cubuktepe, The University of Texas at Austin
Zhe Xu, The University of Texas at Austin
Ufuk Topcu, The University of Texas at Austin
Leader
Election and Compaction for Asynchronous Silent Programmable Matter (page
276)
Gianlorenzo D'Angelo, Gran Sasso Science Institute
Mattia D'Emidio, University of L'Aquila
Shantanu Das, Aix-Marseille University
Alfredo Navarra, University of Perugia
Giuseppe Prencipe, University of Pisa
Intention-Aware
Multiagent Scheduling (page
285)
Michael Dann, RMIT University
John Thangarajah, RMIT University
Yuan Yao, Zhejiang University of Technology
Brian Logan, University of Nottingham
Goal
Formation through Interaction in the Situation Calculus: A Formal Account
Grounded in Behavioral Science (page
294)
Giuseppe De Giacomo, Universitŕ degli Studi di Roma
Yves Lespérance, York University
Risk-Aware
Conditional Replanning for Globally Constrained Multi-Agent Sequential
Decision Making (page
303)
Frits de Nijs, Monash University
Peter J. Stuckey, Monash University
Testing
Axioms Against Human Reward Divisions in Cooperative Games (page
312)
Greg d'Eon, University of British Columbia
Kate Larson, University of Waterloo
Manipulating
Node Similarity Measures in Networks (page
321)
Palash Dey, Indian Institute of Technology
Sourav Medya, Northwestern University
Gaussian
Processes as Multiagent Reward Models (page
330)
Gaurav Dixit, Oregon State University
Stéphane Airiau, LAMSADE, CNRS, Université Paris-Dauphine, Université
PSL
Kagan Tumer, Oregon State University
Alternative
Function Approximation Parameterizations for Solving Games: An Analysis
of f-Regression Counterfactual Regret Minimization (page
339)
Ryan D'Orazio, University of Alberta
Dustin Morrill, University of Alberta
James R. Wright, University of Alberta
Michael Bowling, University of Alberta
Dueling
Bandits: From Two-dueling to Multi-dueling (page
348)
Yihan Du, Tsinghua University
Siwei Wang, Tsinghua University
Longbo Huang, Tsinghua University
Private
and Byzantine-Proof Cooperative Decision-Making (page
357)
Abhimanyu Dubey, Massachusetts Institute of Technology
Alex Pentland, Massachusetts Institute of Technology
Algorithms
for Swap and Shift Bribery in Structured Elections (page
366)
Edith Elkind, University of Oxford
Piotr Faliszewski, AGH University
Sushmita Gupta, National Institute of Science Education and Research
Sanjukta Roy, The Institute of Mathematical Sciences, HBNI
Adaptive
Autonomy in Wireless Sensor Networks (page
375)
Mirgita Frasheri, Mälardalen University
José Cano-Garcia, University of Malaga
Eva González-Parada, University of Malaga
Baran Çürüklü, Mälardalen University
Mikael Ekström, Mälardalen University
Alessandro V. Papadopoulos, Mälardalen University
Cristina Urdiales, University of Malaga
Equitable
Allocations of Indivisible Chores (page
384)
Rupert Freeman, Microsoft Research
Sujoy Sikdar, University of Washington in St. Louis
Rohit Vaish, Rensselaer Polytechnic Institute
Lirong Xia, Rensselaer Polytechnic Institute
Threshold
Task Games: Theory, Platform and Experiments (page
393)
Kobi Gal, Ben-Gurion University of the Negev & University of Edinburgh
Ta Duy Nguyen, National University of Singapore
Quang Nhat Tran, National University of Singapore
Yair Zick, National University of Singapore
Mechanism
Design for Defense Coordination in Security Games (page
402)
Jiarui Gan, University of Oxford
Edith Elkind, University of Oxford
Sarit Kraus, Bar-Ilan University
Michael Wooldridge, University of Oxford
Multi
Type Mean Field Reinforcement Learning (page
411)
Sriram Ganapathi Subramanian, University of Waterloo
Pascal Poupart, Borealis AI
Matthew E. Taylor, Borealis AI
Nidhi Hegde, Borealis AI
Computing
Competitive Equilibria with Mixed Manna (page
420)
Jugal Garg, University of Illinois at Urbana-Champaign
Peter McGlaughlin, University of Illinois at Urbana-Champaign
Toward
Genuine Robot Teammates: Improving Human-Robot Team Performance Using
Robot Shared Mental Models (page
429)
Felix Gervits, Tufts University
Dean Thurston, Tufts University
Ravenna Thielstrom, Tufts University
Terry Fong, NASA Ames Research Center
Quinn Pham, Tufts University
Matthias Scheutz, Tufts University
Improving
Performance in Reinforcement Learning by Breaking Generalization in Neural
Networks (page
438)
Sina Ghiassian, University of Alberta; Alberta Machine Intelligence
Institute
Banafsheh Rafiee, University of Alberta; Alberta Machine Intelligence
Institute
Yat Long Lo, University of Alberta; Alberta Machine Intelligence Institute
Adam White, University of Alberta; Alberta Machine Intelligence Institute
Towards
Deployment of Robust Cooperative AI Agents: An Algorithmic Framework for
Learning Adaptive Policies (page
447)
Ahana Ghosh, MPI-SWS
Sebastian Tschiatschek, University of Vienna
Hamed Mahdavi, MPI-SWS
Adish Singla, MPI-SWS
A
Bridge between Polynomial Optimization and Games with Imperfect Recall (page
456)
Hugo Gimbert, CNRS, LaBRI , Université de Bordeaux
Soumyajit Paul, LaBRI , Université de Bordeaux
B. Srivathsan, Chennai Mathematical Institute
Integrating
Behavior Cloning and Reinforcement Learning for Improved Performance in
Dense and Sparse Reward Environments (page
465)
Vinicius G. Goecks, Texas A&M University and US Army Research Laboratory
Gregory M. Gremillion, US Army Research Laboratory
Vernon J. Lawhern, US Army Research Laboratory
John Valasek, Texas A&M University
Nicholas R. Waytowich, US Army Research Laboratory & Columbia University
Demystifying
Emergent Intelligence and Its Effect on Performance In Large Robot Swarms (page
474)
John Harwell, University of Minnesota
London Lowmanstone, Harvard University
Maria Gini, University of Minnesota
Cautious
Reinforcement Learning with Logical Constraints (page
483)
Mohammadhosein Hasanbeig, University of Oxford
Alessandro Abate, University of Oxford
Daniel Kroening, University of Oxford
Neural
Replicator Dynamics: Multiagent Learning via Hedging Policy Gradients (page
492)
Daniel Hennes, DeepMind
Dustin Morrill, University of Alberta
Shayegan Omidshafiei, DeepMind
Rémi Munos, DeepMind
Julien Perolat, DeepMind
Marc Lanctot, DeepMind
Audrunas Gruslys, DeepMind
Jean-Baptiste Lespiau, DeepMind
Paavo Parmas, Okinawa Institute of Science and Technology
Edgar Dučńez-Guzmán, DeepMind
Karl Tuyls, DeepMind
New
Algorithms for Continuous Distributed Constraint Optimization Problems (page
502)
Khoi D. Hoang, Washington University in St. Louis
William Yeoh, Washington University in St. Louis
Makoto Yokoo, Kyushu University
Zinovi Rabinovich, Nanyang Technological University
The
Effect of Strategic Noise in Linear Regression (page
511)
Safwan Hossain, University of Toronto
Nisarg Shah, University of Toronto
Inducing
Cooperation through Reward Reshaping based on Peer Evaluations in Deep
Multi-Agent Reinforcement Learning (page
520)
David Earl Hostallero, McGill University
Daewoo Kim, Korea Advanced Institute of Science and Technology
Sangwoo Moon, Korea Advanced Institute of Science and Technology
Kyunghwan Son, Korea Advanced Institute of Science and Technology
Wan Ju Kang, Korea Advanced Institute of Science and Technology
Yung Yi, Korea Advanced Institute of Science and Technology
Green
Security Game with Community Engagement (page
529)
Taoan Huang, University of Southern California
Weiran Shen, Carnegie Mellon University
David Zeng, Carnegie Mellon University
Tianyu Gu, Carnegie Mellon University
Rohit Singh, World Wide Fund for Nature
Fei Fang, Carnegie Mellon University
Learning
to Resolve Alliance Dilemmas in Many-Player Zero-Sum Games (page
538)
Edward Hughes, DeepMind
Thomas W. Anthony, DeepMind
Tom Eccles, DeepMind
Joel Z. Leibo, DeepMind
David Balduzzi, DeepMind
Yoram Bachrach, DeepMind
CopyCAT:
Taking Control of Neural Policies with Constant Attacks (page
548)
Léonard Hussenot, Google Research, INRIA SequeL & Université de Lille
Matthieu Geist, Google Research
Olivier Pietquin, Google Research
Snooping
Attacks on Deep Reinforcement Learning (page
557)
Matthew Inkawhich, Duke University
Yiran Chen, Duke University
Hai Li, Duke University
It's
Not Whom You Know, It's What You, or Your Friends, Can Do: Coalitional
Frameworks for Network Centralities (page
566)
Gabriel Istrate, West University of Timisoara & The e-Austria Research
Institute
Cosmin Bonchiş, West University of Timisoara & The e-Austria
Research Institute
Claudiu Gatină, West University of Timisoara
Influence
Maximization in Unknown Social Networks: Learning Policies for Effective
Graph Sampling (page
575)
Harshavardhan Kamarthi, Indian Institute of Technology Madras
Priyesh Vijayan, McGill University and Mila
Bryan Wilder, Harvard University
Balaraman Ravindran, Indian Institute of Technology Madras
Milind Tambe, Harvard University
On
Stable Matchings with Pairwise Preferences and Matroid Constraints (page
584)
Naoyuki Kamiyama, Kyushu University & JST PRESTO
Combining
No-regret and Q-learning (page
593)
Ian A. Kash, University of Illinois at Chicago
Michael Sullins, University of Illinois at Chicago
Katja Hofmann, Microsoft Research
Approximately
Stable Matchings with General Constraints (page
602)
Yasushi Kawase, Tokyo Institute of Technology & RIKEN AIP
Atsushi Iwasaki, University of Electro-Communications & RIKEN AIP
Inducing
Equilibria in Networked Public Goods Games through Network Structure Modification (page
611)
David Kempe, University of Southern California
Sixie Yu, Washington University in St. Louis
Yevgeniy Vorobeychik, Washington University in St. Louis
Learning
Hierarchical Teaching Policies for Cooperative Agents (page
620)
Dong-Ki Kim, Massachusetts Institute of Technology & MIT-IBM Watson
AI Lab
Miao Liu, IBM Research, MIT-IBM Watson AI Lab
Shayegan Omidshafiei, Massachusetts Institute of Technology & MIT-IBM
Watson AI Lab
Sebastian Lopez-Cot, Massachusetts Institute of Technology & MIT-IBM
Watson AI Lab
Matthew Riemer, IBM Research, MIT-IBM Watson AI Lab
Golnaz Habibi, Massachusetts Institute of Technology & MIT-IBM Watson
AI Lab
Gerald Tesauro, IBM Research, MIT-IBM Watson AI Lab
Sami Mourad, IBM Research, MIT-IBM Watson AI Lab
Murray Campbell, IBM Research, MIT-IBM Watson AI Lab
Jonathan P. How, Massachusetts Institute of Technology & MIT-IBM Watson
AI Lab
Adversarial
Patrolling with Drones (page
629)
David Klaška, Masaryk University
Antonín Kučera, Masaryk University
Vojtěch Řehák, Masaryk University
Incentivising
Participation in Liquid Democracy with Breadth-First Delegation (page
638)
Grammateia Kotsialou, King's College London
Luke Riley, King's College London & Quant Network
Strategic
Manipulation with Incomplete Preferences: Possibilities and Impossibilities
for Positional Scoring Rules (page
645)
Justin Kruger, Université Paris-Dauphine
Zoi Terzopoulou, Institute for Logic, Language and Computation
Increasing
Evacuation during Disaster Events (page
654)
Chris J. Kuhlman, University of Virginia
Achla Marathe, University of Virginia
Anil Vullikanti, University of Virginia
Nafisa Halim, Boston University
Pallab Mozumder, Florida International University
Convexity
of Hypergraph Matching Game (page
663)
Soh Kumabe, The University of Tokyo
Takanori Maehara, RIKEN AIP
Optimal
Swarm Strategy for Dynamic Target Search and Tracking (page
672)
Hian Lee Kwa, Singapore University of Technology and Design & Thales
Solutions Asia
Jabez Leong Kit, Singapore University of Technology and Design
Roland Bouffanais, Singapore University of Technology and Design
On
the Model-Checking of Branching-time Temporal Logic with BDI Modalities (page
681)
Salvatore La Torre, Universitŕ degli Studi di Salerno
Gennaro Parlato, Universitŕ degli Studi del Molise
Hindsight
Planner (page
690)
Yaqing Lai, Tsinghua University
Wufan Wang, Tsinghua University
Yunjie Yang, Tsinghua University
Jihong Zhu, Tsinghua University
Minchi Kuang, Tsinghua University
A
Deliberate BIAT Logic for Modeling Manipulations (page
699)
Christopher Leturc, Normandie University, UNICAEN, ENSICAEN, CNRS,
GREYC
Grégory Bonnet, Normandie University, UNICAEN, ENSICAEN, CNRS, GREYC
Fair
Resource Sharing and Dorm Assignment (page
708)
Bo Li, University of Oxford
Yingkai Li, Northwestern University
Spatial-Temporal
Moving Target Defense: A Markov Stackelberg Game Model (page
717)
Henger Li, Tulane University
Wen Shen, Tulane University
Zizhan Zheng, Tulane University
Moving
Agents in Formation in Congested Environments (page
726)
Jiaoyang Li, University of Southern California
Kexuan Sun, University of Southern California
Hang Ma, Simon Fraser University
Ariel Felner, Ben-Gurion University of the Negev
T. K. Satish Kumar, University of Southern California
Sven Koenig, University of Southern California
On
Emergent Communication in Competitive Multi-Agent Teams (page
735)
Paul Pu Liang, Carnegie Mellon University
Jeffrey Chen, Carnegie Mellon University
Ruslan Salakhutdinov, Carnegie Mellon University
Louis-Philippe Morency, Carnegie Mellon University
Satwik Kottur, Carnegie Mellon University
A
Story of Two Streams: Reinforcement Learning Models from Human Behavior
and Neuropsychiatry (page
744)
Baihan Lin, Columbia University
Guillermo Cecchi, IBM Research
Djallel Bouneffouf, IBM Research
Jenna Reinen, IBM Research
Irina Rish, Mila, Université de Montréal
Off-Policy
Deep Reinforcement Learning with Analogous Disentangled Exploration (page
753)
Anji Liu, University of California, Los Angeles
Yitao Liang, University of California, Los Angeles
Guy Van den Broeck, University of California, Los Angeles
Parameterised
Verification of Strategic Properties in Probabilistic Multi-Agent Systems (page
762)
Alessio Lomuscio, Imperial College London
Edoardo Pirovano, Imperial College London
Competitive
Ratios for Online Multi-capacity Ridesharing (page
771)
Meghna Lowalekar, Singapore Management University
Pradeep Varakantham, Singapore Management University
Patrick Jaillet, Massachusetts Institute of Technology
A
Budget-Limited Mechanism for Category-Aware Crowdsourcing Systems (page
780)
Yuan Luo, Imperial College London
Nicholas R. Jennings, Imperial College London
Gifting
in Multi-Agent Reinforcement Learning (page
789)
Andrei Lupu, Mila, McGill University
Doina Precup, Mila, McGill University
Likelihood
Quantile Networks for Coordinating Multi-Agent Reinforcement Learning (page
798)
Xueguang Lyu, Northeastern University
Christopher Amato, Northeastern University
Penalty
Bidding Mechanisms for Allocating Resources and Overcoming Present-Bias (page
807)
Hongyao Ma, Harvard University
Reshef Meir, Technion - Israel Institute of Technology
David C. Parkes, Harvard University
Elena Wu-Yan, Facebook, Inc.
Feudal
Multi-Agent Deep Reinforcement Learning for Traffic Signal Control (page
816)
Jinming Ma, University of Science and Technology of China
Feng Wu, University of Science and Technology of China
AED:
An Anytime Evolutionary DCOP Algorithm (page
825)
Saaduddin Mahmud, University of Dhaka
Moumita Choudhury, University of Dhaka
Md. Mosaddek Khan, University of Dhaka
Long Tran-Thanh, University of Southampton
Nicholas R. Jennings, Imperial College London
Learning
Probably Approximately Correct Maximin Strategies in Simulation-Based
Games with Infinite Strategy Spaces (page
834)
Alberto Marchesi, Politecnico di Milano
Francesco Trovň, Politecnico di Milano
Nicola Gatti, Politecnico di Milano
Optimal
Temporal Plan Merging (page
851)
Gilberto Marcon dos Santos, Oregon State University
Julie A. Adams, Oregon State University
Policy-Gradient
Algorithms Have No Guarantees of Convergence in Linear Quadratic Games (page
860)
Eric Mazumdar, University of California, Berkeley
Lillian J. Ratliff, University of Washington
Michael I. Jordan, University of California, Berkeley
S. Shankar Sastry, University of California, Berkeley
Social
Diversity and Social Preferences in Mixed-Motive Reinforcement Learning (page
869)
Kevin R. McKee, DeepMind
Ian Gemp, DeepMind
Brian McWilliams, DeepMind
Edgar A. Dučñez-Guzmán, DeepMind
Edward Hughes, DeepMind
Joel Z. Leibo, DeepMind
Trajectory-User
Linking with Attentive Recurrent Network (page
878)
Congcong Miao, Tsinghua University & Beijing National Research Center
for Information Science and Technology
Jilong Wang, Tsinghua University & Beijing National Research Center
for Information Science and Technology
Heng Yu, Tsinghua University & Beijing National Research Center for
Information Science and Technology
Weichen Zhang, Tsinghua University & Beijing National Research Center
for Information Science and Technology
Yinyao Qi, Tsinghua University & Beijing National Research Center
for Information Science and Technology
Approximate
Nash Equilibria of Imitation Games: Algorithms and Complexity (page
887)
Aniket Murhekar, University of Illinois at Urbana-Champaign
Ruta Mehta, University of Illinois at Urbana-Champaign
Massive
Cross-Platform Simulations of Online Social Networks (page
895)
Goran Murić, USC Information Sciences Institute
Alexey Tregubov, USC Information Sciences Institute
Jim Blythe, USC Information Sciences Institute
Andrés Abeliuk, USC Information Sciences Institute
Divya Choudhary, USC Information Sciences Institute
, USC Information Sciences Institute
Kristina Lerman, USC Information Sciences Institute
Emilio Ferrara, USC Information Sciences Institute
Duty
to Warn in Strategic Games (page
904)
Pavel Naumov, Tulane University
Jia Tao, Lafayette College
Generalized
Optimistic Q-Learning with Provable Efficiency (page
913)
Grigory Neustroev, Delft University of Technology
Mathijs M. de Weerdt, Delft University of Technology
The
Complexity of Cloning Candidates in Multiwinner Elections (page
922)
Marc Neveling, Heinrich-Heine-Universität Düsseldorf
Jörg Rothe, Heinrich-Heine-Universität Düsseldorf
DCRAC:
Deep Conditioned Recurrent Actor-Critic for Multi-Objective Partially
Observable Environments (page
931)
Xiaodong Nian, University of Washington
Athirai A. Irissappane, University of Washington
Diederik Roijers, HU University of Applied Sciences
Is
the Policy Gradient a Gradient? (page
939)
Chris Nota, University of Massachusetts, Amherst
Philip S. Thomas, University of Massachusetts, Amherst
Driving
Exploration by Maximum Distribution in Gaussian Process Bandits (page
948)
Alessandro Nuara, Politecnico di Milano
Francesco Trovň, Politecnico di Milano
Dominic Crippa, Politecnico di Milano
Nicola Gatti, Politecnico di Milano
Marcello Restelli, Politecnico di Milano
Multiwinner
Candidacy Games (page
957)
Svetlana Obraztsova, Nanyang Technological University
Maria Polukarov, King's College
Edith Elkind, University of Oxford
Marek Grzesiuk, King's College London
Towards
a Computational Framework for Automating Substance Use Counseling with
Virtual Agents (page
966)
Stefan Olafsson, Northeastern University
Byron Wallace, Northeastern University
Timothy Bickmore, Northeastern University
Analyzing
Reinforcement Learning Benchmarks with Random Weight Guessing (page
975)
Declan Oller, Independent Researcher
Tobias Glasmachers, Ruhr-University Bochum
Giuseppe Cuccu, University of Fribourg
Non-Uniform
Policies for Multi-Robot Asymmetric Perimeter Patrol in Adversarial Domains (page
983)
Yaniv Oshrat, Bar-Ilan University
Noa Agmon, Bar-Ilan University
Sarit Kraus, Bar-Ilan University
Who
and When to Screen: Multi-Round Active Screening for Network Recurrent
Infectious Diseases Under Uncertainty (page
992)
Han-Ching Ou, Harvard University
Arunesh Sinha, Singapore Management University
Sze-Chuan Suen, University of Southern California
Andrew Perrault, Harvard University
Alpan Raval, Wadhwani AI
Milind Tambe, Harvard University
Multi-Path
Policy Optimization (page
1001)
Ling Pan, Tsinghua University
Qingpeng Cai, Alibaba Group
Longbo Huang, Tsinghua University
Navigating
the Combinatorics of Virtual Agent Design Space to Maximize Persuasion (page
1010)
Dhaval Parmar, Northeastern University
Stefán Ólafsson, Northeastern University
Dina Utami, Northeastern University
Prasanth Murali, Northeastern University
Timothy Bickmore, Northeastern University
Real-time
Learning and Planning in Environments with Swarms: A Hierarchical and
a Parameter-based Simulation Approach (page
1019)
Lukasz Pelcner, Lancaster University
Shaling Li, University of Portsmouth
Matheus Aparecido do Carmo Alves, University of Săo Paulo
Leandro Soriano Marcolino, Lancaster University
Alex Collins, Lancaster University
GAPCoD:
A Generic Assembly Planner by Constrained Disassembly (page
1028)
Florian Pescher, FEMTO-ST Institute, UBFC, CNRS
Nils Napp, Cornell University
Benoît Piranda, FEMTO-ST Institute, UBFC, CNRS
Julien Bourgeois, FEMTO-ST Institute, UBFC, CNRS
Inference-Based
Strategy Alignment for General-Sum Differential Games (page
1037)
Lasse Peters, Hamburg University of Technology
David Fridovich-Keil, University of California, Berkeley
Claire J. Tomlin, University of California, Berkeley
Zachary N. Sunberg, University of Colorado, Boulder
On
Algorithmic Decision Procedures in Emergency Response Systems in Smart
and Connected Communities (page
1046)
Geoffrey Pettet, Vanderbilt University
Ayan Mukhopadhyay, Stanford University
Mykel Kochenderfer, Stanford University
Yevgeniy Vorobeychik, Washington University
Abhishek Dubey, Vanderbilt University
Learning
and Testing Resilience in Cooperative Multi-Agent Systems (page
1055)
Thomy Phan, Ludwig Maximilian University of Munich
Thomas Gabor, Ludwig Maximilian University of Munich
Andreas Sedlmeier, Ludwig Maximilian University of Munich
Fabian Ritz, Ludwig Maximilian University of Munich
Bernhard Kempter, Siemens AG
Cornel Klein, Siemens AG
Horst Sauer, Siemens AG
Reiner Schmid, Siemens AG
Jan Wieghardt, Siemens AG
Marc Zeller, Siemens AG
Claudia Linnhoff-Popien, Ludwig Maximilian University of Munich
Objective
Social Choice: Using Auxiliary Information to Improve Voting Outcomes (page
1064)
Silviu Pitis, University of Toronto
Michael R. Zhang, University of Toronto
Goal
Recognition Using Off-The-Shelf Process Mining Techniques (page
1072)
Artem Polyvyanyy, The University of Melbourne
Zihang Su, The University of Melbourne
Nir Lipovetzky, The University of Melbourne
Sebastian Sardina, RMIT University
Extending
Narrative Planning Domains with Linguistic Resources (page
1081)
Julie Porteous, RMIT University
Joăo F. Ferreira, INESC-ID & Instituto Superior Tecnico, Universidade
de Lisboa
Alan Lindsay, University of Huddersfield
Marc Cavazza, University of Greenwich
Yesterday's
Reward is Today's Punishment: Contrast Effects in Human Feedback to Reinforcement
Learning Agents (page
1090)
Divya Ramesh, University of Michigan - Ann Arbor
Anthony Z. Liu, University of Michigan - Ann Arbor
Andres J. Echeverria, University of Michigan - Ann Arbor
Jean Y. Song, University of Michigan - Ann Arbor
Nicholas R. Waytowich, US Army Research Laboratory
Walter S. Lasecki, University of Michigan - Ann Arbor
Toll-Based
Learning for Minimising Congestion under Heterogeneous Preferences (page
1098)
Gabriel de O. Ramos, Universidade do Vale do Rio dos Sinos
Roxana Rădulescu, Vrije Universiteit Brussel
Ann Nowé, Vrije Universiteit Brussel
Anderson R. Tavares, Universidade Federal do Rio Grande do Sul
Culture-Based
Explainable Human-Agent Deconfliction (page
1107)
Alex Raymond, University of Cambridge
Hatice Gunes, University of Cambridge
Amanda Prorok, University of Cambridge
Automated
Configuration of Negotiation Strategies (page
1116)
Bram M. Renting, Delft University of Technology
Holger H. Hoos, Leiden University
Catholijn M. Jonker, Delft University of Technology & Leiden University
Capacity,
Bandwidth, and Compositionality in Emergent Language Learning (page
1125)
Cinjon Resnick, New York University
Abhinav Gupta, MILA
Jakob Foerster, Facebook AI Research
Andrew M. Dai, Google AI
Kyunghyun Cho, New York University & Facebook AI Research
Employing
Models of Human Social Motor Behavior for Artificial Agent Trainers (page
1134)
Lillian M. Rigoli, Macquarie University
Patrick Nalepka, Macquarie University
Hannah Douglas, Macquarie University
Rachel W. Kallen, Macquarie University
Simon Hosking, Defence Science and Technology Group
Christopher Best, Defence Science and Technology Group
Elliot Saltzman, Boston University, MA & Haskins Laboratories
Michael J. Richardson, Macquarie University
Multi-level
Fitness Critics for Cooperative Coevolution (page
1143)
Golden Rockefeller, Oregon State University
Shauharda Khadka, Intel Corporation
Kagan Tumer, Oregon State University
A
Structural Solution to Sequential Moral Dilemmas (page
1152)
Manel Rodriguez-Soto, Artificial Intelligence Research Institute (IIIA-CSIC)
Maite Lopez-Sanchez, Universitat de Barcelona (UB)
Juan A. Rodriguez-Aguilar, Artificial Intelligence Research Institute
(IIIA-CSIC)
Human-Centered
Decision Support for Agenda Scheduling (page
1161)
Stephanie Rosenthal, Carnegie Mellon University
Laura M. Hiatt, Naval Research Laboratory
Viral
vs. Effective: Utility Based Influence Maximization (page
1169)
Yael Sabato, Ariel University
Amos Azaria, Ariel University
Noam Hazon, Ariel University
Multirobot
Coverage of Modular Environments (page
1178)
Mirko Salaris, Politecnico di Milano
Alessandro Riva, Politecnico di Milano
Francesco Amigoni, Politecnico di Milano
Designing
Effective and Practical Interventions to Contain Epidemics (page
1187)
Prathyush Sambaturu, University of Virginia
Bijaya Adhikari, Virginia Polytechnic Institute and State University
B. Aditya Prakash, Georgia Institute of Technology
Srinivasan Venkatramanan, University of Virginia
Anil Vullikanti, University of Virginia
MGpi:
A Computational Model of Multiagent Group Perception and Interaction (page
1196)
Navyata Sanghvi, Carnegie Mellon University
Ryo Yonetani, Carnegie Mellon University
Kris Kitani, Carnegie Mellon University
Bayesian
Active Malware Analysis (page
1206)
Riccardo Sartea, University of Verona
Georgios Chalkiadakis, Technical University of Crete
Alessandro Farinelli, University of Verona
Matteo Murari, University of Verona
Maximizing
Information Gain in Partially Observable Environments via Prediction Rewards (page
1215)
Yash Satsangi, University of Alberta
Sungsu Lim, University of Alberta
Shimon Whiteson, University of Oxford
Frans A. Oliehoek, Technical University Delft
Martha White, University of Alberta
Limitations
of Greed: Influence Maximization in Undirected Networks Re-visited (page
1224)
Grant Schoenebeck, University of Michigan - Ann Arbor
Biaoshuai Tao, University of Michigan - Ann Arbor
Fang-Yi Yu, University of Michigan - Ann Arbor
A
Qualitative Approach to Composing Value-Aligned Norm Systems (page
1233)
Marc Serramia, Artificial Intelligence Research Institute (IIIA-CSIC)
Maite Lopez-Sanchez, University of Barcelona
Juan A. Rodriguez-Aguilar, Artificial Intelligence Research Institute
(IIIA-CSIC)
Learning
to Design Coupons in Online Advertising Markets (page
1242)
Weiran Shen, Tsinghua University
Pingzhong Tang, Tsinghua University
Xun Wang, Tsinghua University
Yadong Xu, Tsinghua University
Xiwang Yang, ByteDance
Epistemic
Plan Recognition (page
1251)
Maayan Shvo, University of Toronto
Toryn Q. Klassen, University of Toronto
Shirin Sohrabi, IBM Research
Sheila A. McIlraith, University of Toronto
Playing
Games in the Dark: An Approach for Cross-Modality Transfer in Reinforcement
Learning (page
1260)
Rui Silva, Universidade de Lisboa & Carnegie Mellon University
Miguel Vasco, Universidade de Lisboa
Francisco S. Melo, Universidade de Lisboa
Ana Paiva, Universidade de Lisboa
Manuela Veloso, Carnegie Mellon University
Safe
Policy Improvement with an Estimated Baseline Policy (page
1269)
Thiago D. Simăo, Delft University of Technology
Romain Laroche, Microsoft Research
Rémi Tachet des Combes, Microsoft Research
Hierarchical
Multiagent Reinforcement Learning for Maritime Traffic Management (page
1278)
Arambam James Singh, Singapore Management University
Akshat Kumar, Singapore Management University
Hoong Chuin Lau, Singapore Management University
Signed
Graph Games: Coalitional Games with Friends, Enemies and Allies (page
1287)
Oskar Skibski, University of Warsaw
Takamasa Suzuki, Gifu University
Tomasz Grabowski, University of Warsaw
Tomasz Michalak, University of Warsaw
Makoto Yokoo, Kyushu University
Strategyproof
Reinforcement Learning for Online Resource Allocation (page
1296)
Sebastian Stein, University of Southampton
Mateusz Ochal, University of Edinburgh
Ioana-Adriana Moisoiu, University of Southampton
Enrico Gerding, University of Southampton
Raghu Ganti, IBM Research
Ting He, Penn State University
Tom La Porta, Penn State University
Minimizing
Margin of Victory for Fair Political and Educational Districting (page
1305)
Ana-Andreea Stoica, Columbia University
Abhijnan Chakraborty, Max Planck Institute for Software Systems
Palash Dey, Indian Institute of Technology
Krishna P. Gummadi, Max Planck Institute for Software Systems
Multi-Robot
Planning Under Uncertainty with Congestion-Aware Models (page
1314)
Charlie Street, University of Oxford
Bruno Lacerda, University of Oxford
Manuel Mühlig, Honda Research Institute Europe GmbH
Nick Hawes, University of Oxford
Games
of Miners (page
1323)
Jingchang Sun, Tsinghua University
Pingzhong Tang, Tsinghua University
Yulong Zeng, ASResearch
Can
Agents Learn by Analogy? An Inferable Model for PAC Reinforcement Learning (page
1332)
Yanchao Sun, University of Maryland, College Park
Furong Huang, University of Maryland, College Park
Drawing
a Map of Elections in the Space of Statistical Cultures (page
1341)
Stanislaw Szufa, Jagiellonian University
Piotr Faliszewski, AGH University
Piotr Skowron, University of Warsaw
Arkadii Slinko, University of Auckland
Nimrod Talmon, Ben-Gurion University
Capturing
Oracle Guided Hiders (page
1350)
Akshat Tandon, International Institute of Information Technology,
Hyderabad
Kamalakar Karlapalem, International Institute of Information Technology,
Hyderabad
Optimized
Cost per Mille in Feeds Advertising (page
1359)
Pingzhong Tang, Tsinghua University
Xun Wang, Tsinghua University
Zihe Wang, ITCS, SUFE
Yadong Xu, Tsinghua University
Xiwang Yang, ByteDance
Differentially
Private Contextual Dynamic Pricing (page
1368)
Wei Tang, Washington University in St. Louis
Chien-Ju Ho, Washington University in St. Louis
Yang Liu, University of California, Santa Cruz
An
Active Learning Method for the Comparison of Agent-based Models (page
1377)
Swapna Thorve, University of Virginia
Zhihao Hu, Virginia Tech
Kiran Lakkaraju, Sandia National Laboratories
Joshua Letchford, Sandia National Laboratories
Anil Vullikanti, University of Virginia
Achla Marathe, University of Virginia
Samarth Swarup, University of Virginia
Deployment
of a Plug-In Multi-Agent System for Traffic Signal Timing (page
1386)
Behnam Torabi, University of Texas at Dallas
Rym Zalila-Wenkstern, University of Texas at Dallas
Robert Saylor, City of Richardson
Patrick Ryan, City of Richardson
A
Novel Individually Rational Objective In Multi-Agent Multi-Armed Bandits:
Algorithms and Regret Bounds (page
1395)
Aristide C. Y. Tossou, Chalmers University
Christos Dimitrakakis, University of Oslo/Chalmers University
Jaroslaw Rzepecki, Microsoft Research
Katja Hofmann, Microsoft Research
The
Effects of Autonomy and Task meaning in Algorithmic Management of Crowdwork (page
1404)
Yuushi Toyoda, Fujitsu Laboratories
Gale Lucas, University of Southern California Institute for Creative
Technologies
Jonathan Gratch, University of Southern California Institute for Creative
Technologies
Using
Cognitive Models to Train Big Data Models with Small Data (page
1413)
J. Gregory Trafton, Naval Research Laboratory
Laura M. Hiatt, Naval Research Laboratory
Benjamin Brumback, Naval Research Laboratory
J. Malcolm McCurry, Peraton
Agent
Ontology Alignment Repair through Dynamic Epistemic Logic (page
1422)
Line van den Berg, University Grenoble Alpes, Inria, CNRS, Grenoble
INP, LIG
Manuel Atencia, University Grenoble Alpes, Inria, CNRS, Grenoble INP,
LIG
Jčrome Euzenat, University Grenoble Alpes, Inria, CNRS, Grenoble INP,
LIG
Plannable
Approximations to MDP Homomorphisms: Equivariance under Actions (page
1431)
Elise van der Pol, UvA-Bosch Deltalab & University of Amsterdam
Thomas Kipf, University of Amsterdam
Frans A. Oliehoek, Delft University of Technology
Max Welling, UvA-Bosch Deltalab & University of Amsterdam
Learning
Context-aware Task Reasoning for Efficient Meta Reinforcement Learning (page
1440)
Haozhe Wang, ShanghaiTech University
Jiale Zhou, ShanghaiTech University
Xuming He, ShanghaiTech University
Scalable
Game-Focused Learning of Adversary Models: Data-to-Decisions in Network
Security Games (page
1449)
Kai Wang, Harvard University
Andrew Perrault, Harvard University
Aditya Mate, Harvard University
Milind Tambe, Harvard University
Bayesian
Nash Equilibrium in First-Price Auction with Discrete Value Distributions (page
1458)
Zihe Wang, Shanghai University of Finance and Economics
Weiran Shen, Carnegie Mellon University
Song Zuo, Google Research
The
Manipulability of Centrality Measures-An Axiomatic Approach (page
1467)
Tomasz Wąs, University of Warsaw
Marcin Waniek, New York University Abu Dhabi & University of Warsaw
Talal Rahwan, New York University Abu Dhabi
Tomasz Michalak, University of Warsaw
Predicting
Persuasive Effectiveness for Multimodal Behavior Adaptation using Bipolar
Weighted Argument Graphs (page
1476)
Klaus Weber, Human-Centered Multimedia
Kathrin Janowski, Human-Centered Multimedia
Niklas Rach, Institute of Communication Engineering
Katharina Weitz, Human-Centered Multimedia
Wolfgang Minker, Institute of Communication Engineering
Stefan Ultes, Institute of Communication Engineering
Elisabeth Andrč, Human-Centered Multimedia
Adaptive
Knowledge Transfer based on Transfer Neural Kernel Network (page
1485)
Pengfei Wei, National University of Singapore
Xinghua Qu, Nanyang Technological University
Yiping Ke, Nanyang Technological University
Tze-Yun Leong, National University of Singapore
Yew Soon Ong, Nanyang Technological University
Uncertainty
Modelling in Multi-agent Information Fusion Systems (page
1494)
Jiali Weng, Southwest University
Fuyuan Xiao, Southwest University
Zehong Cao, University of Tasmania
A
Performance-Based Start State Curriculum Framework for Reinforcement Learning (page
1503)
Jan Wöhlke, Bosch Center for Artificial Intelligence & University
of Amsterdam
Felix Schmitt, Bosch Center for Artificial Intelligence
Herke van Hoof, University of Amsterdam
FRESH:
Interactive Reward Shaping in High-Dimensional State Spaces using Human
Feedback (page
1512)
Baicen Xiao, University of Washington
Qifan Lu, University of Washington
Bhaskar Ramasubramanian, University of Washington
Andrew Clark, Worcester Polytechnic Institute
Linda Bushnell, University of Washington
Radha Poovendran, University of Washington
On
the Complexity of Sequential Posted Pricing (page
1521)
Tao Xiao, Shanghai Jiao Tong University
Zhengyang Liu, Beijing Institute of Technology
Wenhan Huang, Shanghai Jiao Tong University
Size-Relaxed
Committee Selection under the Chamberlin-Courant Rule (page
1530)
Tao Xiao, Shanghai Jiao Tong University
Sujoy Sikdar, Washington University in St. Louis
Strategyproof
Mechanisms for Activity Scheduling (page
1539)
Xinping Xu, Singapore University of Technology and Design
Minming Li, City University of Hong Kong
Lingjie Duan, Singapore University of Technology and Design
Game
Theoretic Analysis for Two-Sided Matching with Resource Allocation (page
1548)
Kentaro Yahiro, Kyushu University
Makoto Yokoo, Kyushu University & RIKEN AIP
Optimal
Control in Partially Observable Complex Social Systems (page
1557)
Fan Yang, University at Buffalo
Bruno Lepri, FBK
Wen Dong, University at Buffalo
Hierarchical
Cooperative Multi-Agent Reinforcement Learning with Skill Discovery (page
1566)
Jiachen Yang, Georgia Institute of Technology
Igor Borovikov, Electronic Arts
Hongyuan Zha, Georgia Institute of Technology
αα-Rank:
Practically Scaling α-Rank through Stochastic Optimisation (page
1575)
Yaodong Yang, Huawei Technologies R&D UK
Rasul Tutunov, Huawei Technologies R&D UK
Phu Sakulwongtana, Huawei Technologies R&D UK
Haitham Bou Ammar, Huawei Technologies R&D UK
On
the Complexity of Destructive Bribery in Approval-Based Multi-winner Voting (page
1584)
Yongjie Yang, Saarland University
Report-Sensitive
Spot-Checking in Peer-Grading Systems (page
1593)
Hedayat Zarkoob, University of British Columbia
Hu Fu, University of British Columbia
Kevin Leyton-Brown, University of British Columbia
The
Power of Suggestion (page
1602)
Nicholas Zerbel, Oregon State University
Kagan Tumer, Oregon State University
Deep
Residual Reinforcement Learning (page
1611)
Shangtong Zhang, University of Oxford
Wendelin Boehmer, University of Oxford
Shimon Whiteson, University of Oxford
Redistribution
Mechanism on Networks (page
1620)
Wen Zhang, ShanghaiTech University
Dengji Zhao, ShanghaiTech University
Hanyu Chen, ShanghaiTech University
Collaborative
Data Acquisition (page
1629)
Wen Zhang, ShanghaiTech University
Yao Zhang, ShanghaiTech University
Dengji Zhao, ShanghaiTech University
SwarmTalk
- Towards Benchmark Software Suites for Swarm Robotics Platforms (page
1638)
Yihan Zhang, Northwestern University
Lyon Zhang, Northwestern University
Hanlin Wang, Northwestern University
Fabián E. Bustamante, Northwestern University
Michael Rubenstein, Northwestern University
META-Learning
State-based Eligibility Traces for More Sample-Efficient Policy Evaluation (page
1647)
Mingde Zhao, Mila, McGill University
Sitao Luan, Mila, McGill University
Ian Porada, Mila, McGill University
Xiao-Wen Chang, McGill University
Doina Precup, McGill University, Mila, DeepMind
Competitive
and Cooperative Heterogeneous Deep Reinforcement Learning (page
1656)
Han Zheng, University of Technology Sydney
Jing Jiang, University of Technology Sydney
Pengfei Wei, National University of Singapore
Guodong Long, University of Technology Sydney
Chengqi Zhang, University of Technology Sydney
Parameterized
Complexity of Shift Bribery in Iterative Elections (page
1665)
Aizhong Zhou, Shandong University
Jiong Guo, Shandong University
Learning
by Reusing Previous Advice in Teacher-Student Paradigm (page
1674)
Changxi Zhu, South China University of Technology
Yi Cai, South China University of Technology
Ho-fung Leung, The Chinese University of Hong Kong
Shuyue Hu, National University of Singapore
Towards
Reality: Smoothed Analysis in Computational Social Choice (page
1691)
Dorothea Baumeister, Heinrich-Heine-Universität Düsseldorf
Tobias Hogrebe, Heinrich-Heine-Universität Düsseldorf
Jörg Rothe, Heinrich-Heine-Universität Düsseldorf
A
Multi-Robot Platform for the Autonomous Operation and Maintenance of Offshore
Wind Farms (page
1696)
Sara Bernardini, Royal Holloway University of London
Ferdian Jovan, Royal Holloway University of London
Zhengyi Jiang, University of Manchester
Simon Watson, University of Manchester
Andrew Weightman, University of Manchester
Peiman Moradi, University of Bristol
Tom Richardson, University of Bristol
Rasoul Sadeghian, Royal College of Art
Sina Sareh, Royal College of Art
Agents
are Dead. Long live Agents! (page
1701)
Virginia Dignum, Umeĺ University
Frank Dignum, Umeĺ University
New
Foundations of Ethical Multiagent Systems (page
1706)
Pradeep K. Murukannaiah, Delft University of Technology
Nirav Ajmeri, North Carolina State University
Catholijn M. Jonker, Delft University of Technology
Munindar P. Singh, North Carolina State University
Research
Challenges and Opportunities in Multi-Agent Path Finding and Multi-Agent
Pickup and Delivery Problems (page
1711)
Oren Salzman, Technion Israel Institute of Technology
Roni Stern, Ben Gurion University of the Negev; Palo Alto Research
Center
We
Need Fairness and Explainability in Algorithmic Hiring (page
1716)
Candice Schumann, University of Maryland
Jeffrey S. Foster, Tufts University
Nicholas Mattei, Tulane University
John P. Dickerson, University of Maryland
Live
Simulations (page
1721)
Samarth Swarup, University of Virginia
Henning S. Mortveit, University of Virginia
Multiagent
Climate Change Research (page
1726)
Vahid Yazdanpanah, University of Twente
Sara Mehryar, London School of Economics
Nicholas R. Jennings, Imperial College London
Swenja Surminski, London School of Economics
Martin J. Siegert, Imperial College London
Jos van Hillegersberg, University of Twente
Designing
Truthful Contextual Multi-Armed Bandits based Sponsored Search Auctions (page
1732)
Kumar Abhishek, International Institute of Information Technology
(IIIT)
Shweta Jain, Indian Institute of Technology (IIT)
Sujit Gujar, International Institute of Information Technology (IIIT)
Boolean
Games: Inferring Agents' Goals Using Taxation Queries (page
1735)
Abhijin Adiga, Biocomplexity Institute and Inititative, University
of Virginia
Sarit Kraus, Bar-Ilan University
S. S. Ravi, Biocomplexity Institute and Initiative, University of
Virginia & University of Albany - SUNY
Leveraging
Communication Topologies Between Learning Agents in Deep Reinforcement
Learning (page
1738)
Dhaval Adjodah, Massachusetts Institute of Technology
Dan Calacci, Massachusetts Institute of Technology
Abhimanyu Dubey, Massachusetts Institute of Technology
Anirudh Goyal, MILA/University of Montreal
P.M. Krafft, Oxford Internet Institute
Esteban Moro, Massachusetts Institute of Technology
Alex Pentland, Massachusetts Institute of Technology
Learning
Transferable Cooperative Behavior in Multi-Agent Teams (page
1741)
Akshat Agarwal, Carnegie Mellon University
Sumit Kumar, Carnegie Mellon University
Katia Sycara, Carnegie Mellon University
Michael Lewis, University of Pittsburgh
Evolving
Meta-Level Reasoning with Reinforcement Learning and A* for Coordinated
Multi-Agent Path-planning (page
1744)
Mona Alshehri, Imam Abdulrahman Bin Faisal University & Massey University
Napoleon Reyes, Massey University
Andre Barczak, Massey University
Privacy-Preserving
Dark Pools (page
1747)
Gilad Asharov, Bar Ilan University
Tucker Hybinette Balch, J.P. Morgan AI Research
Antigoni Polychroniadou, J.P. Morgan AI Research
Manuela Veloso, J.P. Morgan AI Research
Long-Run
Multi-Robot Planning With Uncertain Task Durations (page
1750)
Carlos Azevedo, Instituto Superior Técnico, University of Lisbon
Bruno Lacerda, University of Oxford
Nick Hawes, University of Oxford
Pedro Lima, Instituto Superior Técnico, University of Lisbon
The
Temporary Exchange Problem (page
1753)
Haris Aziz, University of New South Wales & Data61 CSIRO
Edward Lee, University of New South Wales & Data61 CSIRO
Mechanism
Design for School Choice with Soft Diversity Constraints (page
1756)
Haris Aziz, University of New South Wales Sydney & Data61 CSIRO
Serge Gaspers, University of New South Wales Sydney
Zhaohong Sun, University of New South Wales Sydney & Data61 CSIRO
Multiple
Levels of Importance in Matching with Distributional Constraints (page
1759)
Haris Aziz, University of New South Wales Sydney & Data 61 CSIRO
Serge Gaspers, University of New South Wales Sydney
Zhaohong Sun, University of New South Wales Sydney & Data 61 CSIRO
Makoto Yokoo, Kyushu University
Learning
Complementary Representations of the Past using Auxiliary Tasks in Partially
Observable Reinforcement Learning (page
1762)
Andrea Baisero, Northeastern University
Christopher Amato, Northeastern University
Autonomous
Shape Formation and Morphing in a Dynamic Environment by a Swarm of Robots (page
1765)
Vaibhav Bajaj, International Institute of Information Technology
Sachit Rao, International Institute of Information Technology
Reinforcement
Learning Dynamics in the Infinite Memory Limit (page
1768)
Wolfram Barfuss, University of Leeds & Max Planck Institute for Mathematics
in the Sciences
Complexity
of Election Evaluation and Probabilistic Robustness (page
1771)
Dorothea Baumeister, Heinrich-Heine-Universität Düsseldorf
Tobias Hogrebe, Heinrich-Heine-Universität Düsseldorf
Irresolute
Approval-based Budgeting (page
1774)
Dorothea Baumeister, Heinrich-Heine-Universität Düsseldorf
Linus Boes, Heinrich-Heine-Universität Düsseldorf
Tessa Seeger, Heinrich-Heine-Universität Düsseldorf
Hedonic
Seat Arrangement Problems (page
1777)
Hans L. Bodlaender, Utrecht University
Tesshu Hanaka, Chuo University
Lars Jaffke, University of Bergen
Hirotaka Ono, Nagoya University
Yota Otachi, Kumamoto Univerisity
Tom C. van der Zanden, Maastricht University
Stable
Roommate Problem With Diversity Preferences (page
1780)
Niclas Boehmer, Technische Universität Berlin
Edith Elkind, University of Oxford
Encapsulating
Reactive Behaviour in Goal-Based Plans for Programming BDI Agents (page
1783)
Rafael H. Bordini, Pontifical Catholic University of Rio Grande do
Sul
Rem Collier, University College of Dublin
Jomi F. Hübner, Federal University of Santa Catarina
Alessandro Ricci, University of Bologna
Finding
Spatial Clusters Susceptible to Epidemic Outbreaks due to Undervaccination (page
1786)
Jose Cadena, Lawrence Livermore National Laboratory
Achla Marathe, University of Virginia
Anil Vullikanti, University of Virginia
Adaptive
and Collaborative Agent-based Traffic Regulation using Behavior Trees (page
1789)
Arthur Casals, Sorbonne Université
Assia Belbachir, IPSA
Amal El Fallah-Seghrouchni, Sorbonne Université
Option-Critic
in Cooperative Multi-agent Systems (page
1792)
Jhelum Chakravorty, McGill University & Mila
Patrick Nadeem Ward, McGill University & Mila
Julien Roy, University of Montreal & Mila
Maxime Chevalier-Boisvert, Mila
Sumana Basu, McGill University & Mila
Andrei Lupu, McGill University & Mila
Doina Precup, McGill University, Mila, & DeepMind
The
Price of Anarchy of Self-Selection in Tullock Contests (page
1795)
Hau Chan, University of Nebraska-Lincoln
David C. Parkes, Harvard University
Karim R. Lakhani, Harvard Business School
Human-in-the-loop
Planning and Monitoring of Swarm Search and Service Missions (page
1798)
Meghan Chandarana, Carnegie Mellon University
Michael Lewis, University of Pittsburgh
Katia Sycara, Carnegie Mellon University
Sebastian Scherer, Carnegie Mellon University
A
New Framework for Multi-Agent Reinforcement Learning - Centralized Training
and Exploration with Decentralized Execution via Policy Distillation (page
1801)
Gang Chen, Victoria University of Wellington
Aggregation
of Support-Relations of Bipolar Argumentation Frameworks (page
1804)
Weiwei Chen, Sun Yat-sen University
Social
Structure Emergence: A Multi-agent Reinforcement Learning Framework for
Relationship Building (page
1807)
Yang Chen, The University of Auckland
Jiamou Liu, The University of Auckland
He Zhao, Beijing Institute of Technology
Hongyi Su, Beijing Institute of Technology
The
Fair Contextual Multi-Armed Bandit (page
1810)
Yifang Chen, University of Southern California
Alex Cuellar, University of Southern California
Haipeng Luo, University of Southern California
Jignesh Modi, University of Southern California
Heramb Nemlekar, University of Southern California
Stefanos Nikolaidis, University of Southern California
Limiting
the Deviation Incentives in Resource Sharing Networks (page
1813)
Yukun Cheng, Suzhou University of Science and Technology
Xiaotie Deng, Peking University
Yuhao Li, Peking University
An
Abstract Framework for Agent-Based Explanations in AI (page
1816)
Giovanni Ciatto, University of Bologna
Davide Calvaresi, HES-SO
Michael I. Schumacher, HES-SO
Andrea Omicini, University of Bologna
Fear
of Punishment Promotes the Emergence of Cooperation and Enhanced Social
Welfare in Social Dilemmas (page
1819)
Theodor Cimpeanu, Teesside University
The Anh Han, Teesside University
Voting
with Random Classifiers (VORACE) (page
1822)
Cristina Cornelio, IBM Research
Michele Donini, Amazon
Andrea Loreggia, European University Institute
Maria Silvia Pini, University of Padova
Francesca Rossi, IBM Research
Translating
Embedding with Local Connection for Knowledge Graph Completion (page
1825)
Zeyuan Cui, Shandong University
Shijun Liu, Shandong University
Li Pan, Shandong University
Qiang He, Swinburne University of Technology
Distributed,
Automated Calibration of Agent-based Model Parameters and Agent Behaviors (page
1828)
Matteo D'Auria, Universitŕ degli Studi di Salerno
Eric O. Scott, George Mason University
Rajdeep Singh Lather, George Mason University
Javier Hilty, George Mason University
Sean Luke, George Mason University
Distributed
Reinforcement Learning for Cooperative Multi-Robot Object Manipulation (page
1831)
Guohui Ding, University of Colorado Boulder
Joewie J. Koh, University of Colorado Boulder
Kelly Merckaert, Vrije Universiteit Brussel
Bram Vanderborght, Vrije Universiteit Brussel
Marco M. Nicotra, University of Colorado Boulder
Christoffer Heckman, University of Colorado Boulder
Alessandro Roncone, University of Colorado Boulder
Lijun Chen, University of Colorado Boulder
Decomposed
Deep Reinforcement Learning for Robotic Control (page
1834)
Yinzhao Dong, Dalian University of Technology
Chao Yu, Sun Yat-Sen University
Paul Weng, Shanghai Jiao Tong University
Ahmed Maustafa, Nagoya Institute of Technology
Hui Cheng, Sun Yat-Sen University
Hongwei Ge, Dalian University of Technology
Computationally
Grounded Quantitative Trust with Time (page
1837)
Nagat Drawel, Concordia University
Jamal Bentahar, Concordia University
Hongyang Qu, Shefield University
Microbribery
in Group Identification (page
1840)
Gabor Erdelyi, University of Canterbury
Yongjie Yang, Saarland University
Decentralized
Task Assignment for Multi-item Pickup and Delivery in Logistic Scenarios (page
1843)
Alessandro Farinelli, University of Verona
Antonello Contini, University of Verona
Davide Zorzi, University of Verona
Distance
Hedonic Games (page
1846)
Michele Flammini, Gran Sasso Science Institute
Bojana Kodric, Gran Sasso Science Institute
Martin Olsen, Aarhus University
Giovanna Varricchio, Gran Sasso Science Institute
Ballooning
Multi-Armed Bandits (page
1849)
Ganesh Ghalme, Indian Institute of Science
Swapnil Dhamal, Chalmers University of Technology
Shweta Jain, Indian Institute of Technology Ropar
Sujit Gujar, International Institute of Information Technology, Hyderabad
Y. Narahari, Indian Institute of Science
Cluster-Based
Social Reinforcement Learning (page
1852)
Mahak Goindani, Purdue University
Jennifer Neville, Purdue University
Multi-agent
Adversarial Inverse Reinforcement Learning with Latent Variables (page
1855)
Nate Gruver, Stanford University
Jiaming Song, Stanford University
Mykel J. Kochenderfer, Stanford University
Stefano Ermon, Stanford University
Networked
Multi-Agent Reinforcement Learning with Emergent Communication (page
1858)
Shubham Gupta, Indian Institute of Science
Rishi Hazra, Indian Institute of Science
Ambedkar Dukkipati, Indian Institute of Science
Winning
an Election: On Emergent Strategic Communication in Multi-Agent Networks (page
1861)
Shubham Gupta, Indian Institute of Science
Ambedkar Dukkipati, Indian Institute of Science
Matching
Affinity Clustering: Improved Hierarchical Clustering at Scale with Guarantees (page
1864)
MohammadTaghi Hajiaghayi, University of Maryland, College Park
Marina Knittel, University of Maryland, College Park
Automating
Coordinated Autonomous Vehicle Control (page
1867)
Allen Huang, University of Cape Town
Geoff Nitschke, University of Cape Town
Anchor
Attention for Hybrid Crowd Forecasts Aggregation (page
1869)
Yuzhong Huang, University of Southern California
Andrés Abeliuk, University of Southern California
Fred Morstatter, University of Southern California
Pavel Atanasov, Pytho, LLC.
Aram Galstyan, University of Southern California
Mastering
Basketball With Deep Reinforcement Learning: An Integrated Curriculum
Training Approach (page
1872)
Hangtian Jia, Netease Fuxi AI Lab
Chunxu Ren, Netease Fuxi AI Lab
Yujing Hu, Netease Fuxi AI Lab
Yingfeng Chen, Netease Fuxi AI Lab
Tangjie Lv, Netease Fuxi AI Lab
Changjie Fan, Netease Fuxi AI Lab
Hongyao Tang, Tianjin University
Jianye Hao, Tianjin University
Multi-agent
Path Planning based on MA-RRT* Fixed Nodes (page
1875)
Jinmingwu Jiang, Chongqing University
Kaigui Wu, Chongqing University
An
Agent-Based Model for Trajectory Modelling in Shared Spaces: A Combination
of Expert-Based and Deep Learning Approaches (page
1878)
Fatema T. Johora, Clausthal University of Technology
Hao Cheng, Leibniz University Hannover
Jörg P. Müller, Clausthal University of Technology
Monika Sester, Leibniz University Hannover
Anchoring
Theory in Sequential Stackelberg Games (page
1881)
Jan Karwowski, Warsaw University of Technology
Jacek Mańdziuk, Warsaw University of Technology
Adam Żychowski, Warsaw University of Technology
Efficient
Hybrid Fault Detection for Autonomous Robots (page
1884)
Eliahu Khalastchi, College of Management Academic Studies
Meir Kalech, Ben-Gurion University of the Negev
Silly
Rules Improve the Capacity of Agents to Learn Stable Enforcement and Compliance
Behaviors (page
1887)
Raphael Koster, DeepMind
Dylan Hadfield-Menell, University of California, Berkeley
Gillian K. Hadfield, University of Toronto & OpenAI
Joel Z. Leibo, DeepMind
Signaling
Friends and Head-Faking Enemies Simultaneously: Balancing Goal Obfuscation
and Goal Legibility (page
1889)
Anagha Kulkarni, Arizona State University
Siddharth Srivastava, Arizona State University
Subbarao Kambhampati, Arizona State University
Deep
Reinforcement Learning for Market Making (page
1892)
Pankaj Kumar, Copenhagen Business School
Computing
the Shapley Value for Ride-Sharing and Routing Games (page
1895)
Chaya Levinger, Ariel University
Noam Hazon, Ariel University
Amos Azaria, Ariel University
Lifelong
Multi-Agent Path Finding in Large-Scale Warehouses (page
1898)
Jiaoyang Li, University of Southern California
Andrew Tinka, Amazon Robotics
Scott Kiesel, Amazon Robotics
Joseph W. Durham, Amazon Robotics
T. K. Satish Kumar, University of Southern California
Sven Koenig, University of Southern California
Graph
Neural Networks for Decentralized Path Planning (page
1901)
Qingbiao Li, University of Cambridge
Fernando Gama, University of Pennsylvania
Alejandro Ribeiro, University of Pennsylvania
Amanda Prorok, University of Cambridge
PANDA:
Privacy-Aware Double Auction for Divisible Resources without a Mediator (page
1904)
Bingyu Liu, Illinois Institute of Technology
Shangyu Xie, Illinois Institute of Technology
Yuan Hong, Illinois Institute of Technology
Two-sided
Auctions with Budgets: Fairness, Incentives and Efficiency (page
1907)
Xiang Liu, Southeast University
Weiwei Wu, Southeast University
Minming Li, City University of Hong Kong
Wanyuan Wang, Southeast University
Robust
Following with Hidden Information in Travel Partners (page
1910)
Shih-Yun Lo, University of Texas at Austin
Elaine Schaertl Short, Tufts University
Andrea L. Thomaz, University of Texas at Austin
A
Decentralized Multi-Agent Coordination Method for Dynamic and Constrained
Production Planning (page
1913)
Marin Lujak, IMT Lille Douai University Lille
Alberto Fernandez, Universidad Rey Juan Carlos
Eva Onaindia, Valencian Research Institute for AI
Normalizing
Flow Model for Policy Representation in Continuous Action Multi-agent
Systems (page
1916)
Xiaobai Ma, Stanford University
Jayesh K. Gupta, Stanford University
Mykel J. Kochenderfer, Stanford University
Genetic
Deep Reinforcement Learning for Mapless Navigation (page
1919)
Enrico Marchesini, University of Verona
Alessandro Farinelli, University of Verona
A
Game Theoretic Approach For k-Core Minimization (page
1922)
Sourav Medya, Northwestern University
Tianyi Ma, University of California, Los Angeles
Arlei Silva, University of California, Santa Barbara
Ambuj Singh, University of California, Santa Barbara
Modified
Actor-Critics (page
1925)
Erinc Merdivan, AIT Austrian Institute of Technology & CentraleSupélec
Sten Hanke, FH Joanneum Gesellschaft mbH
Matthieu Geist, Google Research
Multi-Vehicle
Mixed Reality Reinforcement Learning for Autonomous Multi-Lane Driving (page
1928)
Rupert Mitchell, University of Cambridge
Jenny Fletcher, University of Cambridge
Jacopo Panerati, University of Cambridge
Amanda Prorok, University of Cambridge
Maximizing
Plan Legibility in Stochastic Environments (page
1931)
Shuwa Miura, University of Massachusetts, Amherst
Shlomo Zilberstein, University of Massachusetts, Amherst
Cooperative
Real-Time Inertial Parameter Estimation (page
1934)
Marina Moreira, NASA Ames Research Center
Brian Coltin, KBR Inc. & NASA Ames Research Center
Rodrigo Ventura, Instituto Superior Técnico
Towards
a Value-driven Explainable Agent for Collective Privacy (page
1937)
Francesca Mosca, King's College London
Jose M. Such, King's College London
Peter McBurney, King's College London
Argumentation
is More Important than Appearance for Designing Culturally Tailored Virtual
Agents (page
1940)
Prasanth Murali, Northeastern University
Ameneh Shamekhi, Northeastern University
Dhaval Parmar, Northeastern University
Timothy Bickmore, Northeastern University
Mining
International Political Norms from the GDELT Database (page
1943)
Rohit Murali, Indian Institute of Science
Suravi Patnaik, Sponsa Limited
Stephen Cranefield, University of Otago
Robust
Self-organization in Games: Symmetries, Conservation Laws and Dimensionality
Reduction (page
1946)
Sai Ganesh Nagarajan, Singapore University of Technology and Design
David Balduzzi, Google DeepMind
Georgios Piliouras, Singapore University of Technology and Design
Mini-batch
Bayesian Inverse Reinforcement Learning for Multiple Dynamics (page
1949)
Yusuke Nakata, Chiba University
Sachiyo Arai, Chiba University
A
Study of Incentive Compatibility and Stability Issues in Fractional Matchings (page
1951)
Shivika Narang, Indian Institute of Science
Yadati Narahari, Indian Institute of Science
Conditional
Updates of Answer Set Programming and Its Application in Explainable Planning (page
1954)
Van Nguyen, New Mexico State University
Tran Cao Son, New Mexico State University
Vasileiou Loukas Stylianos, Washington University in St. Louis
William Yeoh, Washington University in St. Louis
Explicit
Modelling of Resources for Multi-Agent MicroServices using the CArtAgO
Framework (page
1957)
Eoin O'Neill, University College Dublin
David Lillis, University College Dublin
Gregory M.P. O'Hare, University College Dublin
Rem W. Collier, University College Dublin
Vulcano:
Operational Fire Suppression Management Using Deep Reinforcement Learning (page
1960)
Cristobal Pais, University of California, Berkeley
Hierarchical
Reinforcement Learning with Integrated Discovery of Salient Subgoals (page
1963)
Shubham Pateria, Nanyang Technological University
Budhitama Subagdja, Nanyang Technological University
Ah Hwee Tan, Nanyang Technological University
Sequential
Advertising Agent with Interpretable User Hidden Intents (page
1966)
Zhaoqing Peng, Alibaba Group
Junqi Jin, Alibaba Group
Lan Luo, University of Southern California
Yaodong Yang, University College London
Rui Luo, University College London
Jun Wang, University College London
Weinan Zhang, Shanghai Jiao Tong University
Miao Xu, Alibaba Group
Chuan Yu, Alibaba Group
Tiejian Luo, University of Chinese Academy of Sciences
Han Li, Alibaba Group
Jian Xu, Alibaba Group
Kun Gai, Alibaba Group
Discovering
Imperfectly Observable Adversarial Actions using Anomaly Detection (page
1969)
Olga Petrova, Avast Software
Karel Durkota, Czech Technical University in Prague
Galina Alperovich, Avast Software
Karel Horak, Avast Software
Michal Najman, Avast Software
Branislav Bosansky, Avast Software & Czech Technical University in
Prague
Viliam Lisy, Avast Software & Czech Technical University in Prague
Aplib:
An Agent Programming Library for Testing Games (page
1972)
I. S. W. B. Prasetya, Utrecht University
Mehdi Dastani, Utrecht University
Modeling
Disinformation and the Effort to Counter It: A Cautionary Tale of When
the Treatment Can Be Worse Than the Disease (page
1975)
Amirarsalan Rajabi, University of Central Florida
Chathika Gunaratne, University of Central Florida
Alexander V. Mantzaris, University of Central Florida
Ivan Garibay, University of Central Florida
GUESs:
Generative modeling of Unknown Environments and Spatial Abstraction for
Robots (page
1978)
Francesco Riccio, Sapienza University of Rome
Roberto Capobianco, Sapienza University of Rome
Daniele Nardi, Sapienza University of Rome
Continuous
Influence Maximisation for the Voter Dynamics: Is Targeting High-Degree
Nodes a Good Strategy? (page
1981)
Guillermo Romero Moreno, University of Southampton
Long Tran-Thanh, University of Southampton
Markus Brede, University of Southampton
Mitigating
the Negative Side Effects of Reasoning with Imperfect Models: A Multi-Objective
Approach (page
1984)
Sandhya Saisubramanian, University of Massachusetts, Amherst
Ece Kamar, Microsoft Research
Shlomo Zilberstein, University of Massachusetts, Amherst
ExTra:
Transfer-guided Exploration (page
1987)
Anirban Santara, Indian Institute of Technology Kharagpur
Rishabh Madan, University of Washington
Pabitra Mitra, Indian Institute of Technology Kharagpur
Balaraman Ravindran, Indian Institute of Technology Madras
C-CoCoA:
A Continuous Cooperative Constraint Approximation Algorithm to Solve Functional
DCOPs (page
1990)
Amit Sarker, University of Dhaka
Abdullahil Baki Arif, University of Dhaka
Moumita Choudhury, University of Dhaka
Md. Mosaddek Khan, University of Dhaka
Heuristic
Strategies in Uncertain Approval Voting Environments (page
1993)
Jaelle Scheuerman, Tulane University
Jason L. Harman, Louisiana State University
Nicholas Mattei, Tulane University
K. Brent Venable, University of West Florida
Not
all Mistakes are Equal (page
1996)
Murat Sensoy, Blue Prism AI Labs
Maryam Saleki, Ozyegin University
Simon Julier, University College London
Reyhan Aydoğan, Ozyegin University
John Reid, Blue Prism AI Labs
On-line
Estimators for Ad-hoc Task Allocation (page
1999)
Elnaz Shafipour Yourdshahi, Lancaster University
Matheus Aparecido do Carmo Alves, University of Săo Paulo (USP)
Leandro Soriano Marcolino, Lancaster University
Plamen Angelov, Lancaster University
Theme
Park Simulation based on Questionnaires for Maximizing Visitor Surplus (page
2002)
Hitoshi Shimizu, NTT Communication Science Laboratories
Tatsushi Matsubayashi, NTT Communication Science Laboratories
Akinori Fujino, NTT Communication Science Laboratories
Hiroshi Sawada, NTT Communication Science Laboratories
Fair
Cake-Cutting Algorithms with Real Land-Value Data (page
2005)
Itay Shtechman, The Open University of Israel
Rica Gonen, The Open University of Israel
Erel Segal-Halevi, Ariel University
BitcoinF:
Achieving Fairness For Bitcoin In Transaction Fee Only Model (page
2008)
Shoeb Siddiqui, International Institute of Information Technology
Ganesh Vanahalli, International Institute of Information Technology
Sujit Gujar, International Institute of Information Technology
An
Axiomatic Approach to Truth Discovery (page
2011)
Joseph Singleton, Cardiff University
Richard Booth, Cardiff University
Robust
Market Making via Adversarial Reinforcement Learning (page
2014)
Thomas Spooner, University of Liverpool
Rahul Savani, University of Liverpool
Analyzing
the Effects of Memory Biases and Mood Disorders on Social Performance (page
2017)
Nanda Kishore Sreenivas, Oracle
Shrisha Rao, International Institute of Information Technology - Bangalore
Neural
MMO v1.3: A Massively Multiagent Game Environment for Training and Evaluating
Neural Networks (page
2020)
Joseph Suarez, Massachusetts Institute of Technology
Yilun Du, Massachusetts Institute of Technology
Igor Mordach, Google Brain
Phillip Isola, Massachusetts Institute of Technology
Restricted
Domains of Dichotomous Preferences with Possibly Incomplete Information (page
2023)
Zoi Terzopoulou, Institute for Logic, Language and Computation
Alexander Karpov, National Research University Higher School of Economics,
Institute of Control Sciences of Russian Academy of Sciences
Svetlana Obraztsova, Nanyang Technological University Singapore
Verification-Guided
Tree Search (page
2026)
Alvaro Velasquez, Air Force Research Laboratory
Daniel Melcer, Northeastern University
Thompson
Sampling for Factored Multi-Agent Bandits (page
2029)
Timothy Verstraeten, Vrije Universiteit Brussel
Eugenio Bargiacchi, Vrije Universiteit Brussel
Pieter J.K. Libin, Vrije Universiteit Brussel
Diederik M. Roijers, HU University of Applied Sciences Utrecht
Ann Nowé, Vrije Universiteit Brussel
Too
Many Cooks: Coordinating Multi-agent Collaboration Through Inverse Planning (page
2032)
Rose E. Wang, Massachusetts Institute of Technology
Sarah A. Wu, Massachusetts Institute of Technology
James A. Evans, University of Chicago
Joshua B. Tenenbaum, Massachusetts Institute of Technology
David C. Parkes, Harvard University
Max Kleiman-Weiner, Harvard University, MIT, & Diffeo
Online
Algorithms for Multi-shop Ski Rental with Machine Learned Predictions (page
2035)
Shufan Wang, Binghamton University, the State University of New York
Jian Li, Binghamton University, the State University of New York
An
Interpretable Multimodal Visual Question Answering System using Attention-based
Weighted Contextual Features (page
2038)
Yu Wang, Samsung Research America
Yilin Shen, Samsung Research America
Hongxia Jin, Samsung Research America
Automatic
Synthesis of Generalized Winning Strategy of Impartial Combinatorial Games (page
2041)
Kaisheng Wu, Jinan University
Yong Qiao, Jinan University
Kaidong Chen, Jinan University
Fei Rong, Jinan Uniersity
Liangda Fang, Jinan University
Zhao-Rong Lai, Jinan University
Qian Dong, Jinan University
Liping Xiong, South China Normal University
Embedding
Preference Elicitation Within the Search for DCOP Solutions (page
2044)
Yuanming Xiao, Washington University in St. Louis
Atena M. Tabakhi, Washington University in St. Louis
William Yeoh, Washington University in St. Louis
A
Supervised Topic Model Approach to Learning Effective Styles within Human-Agent
Negotiation (page
2047)
Yuyu Xu, Northeastern University
David Jeong, University of Southern California
Pedro Sequeira, SRI International
Jonathan Gratch, Institute for Creative Technologies
Javed Aslam, Northeastern University
Stacy Marsella, Northeastern University
An
Information Distribution Method for Avoiding Hunting Phenomenon in Theme
Parks (page
2050)
Hiroaki Yamada, Fujitsu Laboratories Ltd.
Naoyuki Kamiyama, Kyushu University & JST, PRESTO
Efficient
Deep Reinforcement Learning through Policy Transfer (page
2053)
Tianpei Yang, Tianjin University
Jianye Hao, Tianjin University & Noah's Ark Lab, Huawei
Zhaopeng Meng, Tianjin University
Zongzhang Zhang, Nanjing University
Yujing Hu, Fuxi AI Lab in Netease
Yingfeng Chen, Fuxi AI Lab in Netease
Changjie Fan, Fuxi AI Lab in Netease
Weixun Wang, Tianjin University
Zhaodong Wang, Washington State University
Jiajie Peng, Northwestern Polytechnical University
Task
Coordination in Multiagent Systems (page
2056)
Vahid Yazdanpanah, University of Twente
Mehdi Dastani, Utrecht University
Shaheen Fatima, Loughborough University
Nicholas R. Jennings, Imperial College London
Devrim M. Yazan, University of Twente
Henk Zijm, University of Twente
The
Sequential Online Chore Division Problem - Definition and Application (page
2059)
Harel Yedidsion, University of Texas at Austin
Shani Alkoby, Ariel University
Peter Stone, University of Texas at Austin
A
Computational Model of Hurricane Evacuation Decision (page
2062)
Nutchanon Yongsatianchot, Northeastern University
Stacy Marsella, Northeastern University
Interactive
RL via Online Human Demonstrations (page
2065)
Chao Yu, Sun Yat-Sen University
Tianpei Yang, New York University
Wenxuan Zhu, Dalian University of Technology
Yinzhao Dong, Dalian University of Technology
Guangliang Li, Ocean University of China
CoMet:
A Meta Learning-Based Approach for Cross-Dataset Labeling Using Co-Training (page
2068)
Guy Zaks, Ben-Gurion University
Gilad Katz, Ben-Gurion University
Explainable
and Contextual Preferences based Decision Making with Assumption-based
Argumentation for Diagnostics and Prognostics of Alzheimer's Disease (page
2071)
Zhiwei Zeng, Nanyang Technological University
Zhiqi Shen, Nanyang Technological University
Jing Jih Chin, Nanyang Technological University
Cyril Leung, The University of British Columbia
Yu Wang, Alibaba Group DAMO Academy AI Center
Ying Chi, Alibaba Group DAMO Academy AI Center
Chunyan Miao, Nanyang Technological University
A
POMDP-based Method for Analyzing Blockchain System Security Against Long
Delay Attack: (Extended Abstract) (page
2074)
Shuangfeng Zhang, Northeastern University
Yuan Liu, Northeastern University
Xingren Chen, Northeastern University
Xin Zhou, Nanyang Technological University
Learning
to Cooperate: Application of Deep Reinforcement Learning for Online AGV
Path Finding (page
2077)
Yi Zhang, Cainiao Network
Yu Qian, Cainiao Network
Yichen Yao, Cainiao Network
Haoyuan Hu, Cainiao Network
Yinghui Xu, Cainiao Network
Opponent
Modelling for Reinforcement Learning in Multi-Objective Normal Form Games (page
2080)
Yijie Zhang, Universiteit van Amsterdam
Roxana Rădulescu, Vrije Universiteit Brussel
Patrick Mannion, National University of Ireland Galway
Diederik M. Roijers, HU University of Applied Sciences
Ann Nowé, Vrije Universiteit Brussel
Integrating
Independent and Centralized Multi-agent Reinforcement Learning for Traffic
Signal Network Optimization (page
2083)
Zhi Zhang, Georgia Institute of Technology
Jiachen Yang, Georgia Institute of Technology
Hongyuan Zha, Georgia Institute of Technology
Coalitional
Games with Stochastic Characteristic Functions Defined by Private Types (page
2086)
Dengji Zhao, ShanghaiTech University
Yiqing Huang, ShanghaiTech University
Liat Cohen, Ben-Gurion University of the Negev
Tal Grinshpoun, Ariel University
A
Generic Metaheuristic Approach to Sequential Security Games (page
2089)
Adam Żychowski, Warsaw University of Technology
Jacek Mandziuk, Warsaw University of Technology
A
Framework for Collaborative and Interactive Agent-oriented Developer Operations (page
2092)
Cleber Jorge Amaral, Instituto Federal de Santa Catarina (IFSC)
Timotheus Kampik, Umeĺ University
Stephen Cranefield, University of Otago
Hierarchical
and Non-Hierarchical Multi-Agent Interactions Based on Unity Reinforcement
Learning (page
2095)
Zehong Cao, University of Tasmania
Kaichiu Wong, University of Tasmania
Quan Bai, University of Tasmania
Chin-Teng Lin, University of Technology Sydney
A
Consensus-based Group Decision Support System using a Multi-Agent MicroServices
Approach (page
2098)
Joăo Carneiro, GECAD, Polytechnic of Porto
Rui Andrade, GECAD, Polytechnic of Porto
Patrícia Alves, GECAD, Polytechnic of Porto
Luís Conceiçăo, GECAD, Polytechnic of Porto
Paulo Novais, Algoritmi, University of Minho
Goreti Marreiros, GECAD, Polytechnic of Porto
AI-assisted
Schedule Explainer for Nurse Rostering (page
2101)
Kristijonas Čyras, Ericsson Research
Amin Karamlou, University of Austin
Myles Lee, Oracle Inc.
Dimitrios Letsios, King's College London
Ruth Misener, Imperial College London
Francesca Toni, Imperial College London
Coordination
of Prosumer Agents via Distributed Optimal Power Flow: An Edge Computing
Hardware Prototype (page
2104)
Daniel Gebbran, University of Sydney
Gregor Verbič, University of Sydney
Archie C. Chapman, University of Queensland
Sleiman Mhanna, University of Melbourne
Trading
Agent Competition with Autonomous Economic Agents (page
2107)
David Minarsch, Fetch.ai
Marco Favorito, Fetch.ai
Ali Hosseini, Fetch.ai
Jonathan Ward, Fetch.ai
MsATL:
A Tool for SAT-Based ATL Satisfiability Checking (page
2111)
Artur Niewiadomski, Siedlce University
Magdalena Kacprzak, Bialystok University of Technology
Damian Kurpiewski, ICS PAS
Michał Knapik, ICS PAS
Wojciech Penczek, ICS PAS
Wojciech Jamroga, ICS PAS & University of Luxembourg
MARTINE:
Multi-Agent based Real-Time INfrastructure for Energy (page
2114)
Tiago Pinto, GECAD/Polytechnic of Porto
Luis Gomes, GECAD/Polytechnic of Porto
Pedro Faria, GECAD/Polytechnic of Porto
Filipe Sousa, GECAD/Polytechnic of Porto
Zita Vale, Polytechnic of Porto
User-Models
to Drive an Adaptive Virtual Advisor (page
2117)
Hedieh Ranjbartabar, Macquarie University
Deborah Richards, Macquarie University
Ayse Aysin Bilgin, Macquarie University
Cat Kutay, University of Technology Sydney
Samuel Mascarenhas, INESC-ID & Institute Superior Técnico
DALI:
An Agent-Plug-In System to "Smartify" Conventional Traffic Control
Systems (page
2120)
Behnam Torabi, University of Texas at Dallas
Rym Zalila-Wenkstern, University of Texas at Dallas
VerSecTis
- An Agent based Model Checker for Security Protocols (page
2123)
Agnieszka M. Zbrzezny, University of Warmia and Mazury
Andrzej Zbrzezny, Jan Dlugosz University
Sabina Szymoniak, Czestochowa University of Technology
Olga Siedlecka-Lamch, Czestochowa University of Technology
Miroslaw Kurkowski, Cardinal St. Wyszynski University
VERIFCAR:
A Framework for Modeling and Model checking Communicating Autonomous Vehicles (page
2126)
Johan Arcile, IBISC, Univ Evry, Université Paris-Saclay
Raymond Devillers, ULB
Hanna Klaudel, IBISC, Univ Evry, Université Paris-Saclay
Strategyproof
Multi-Item Exchange Under Single-Minded Dichotomous Preferences (page
2128)
Haris Aziz, UNSW Sydney and Data61 CSIRO
Sequential
Voting in Multi-agent Soft Constraint Aggregation (page
2131)
Cristina Cornelio, IBM Research
Maria Silvia Pini, University of Padova
Francesca Rossi, IBM Research
K. Brent Venable, IHMC & University of West Florida
Strategic
Negotiations for Extensive-Form Games (page
2134)
Dave de Jonge, IIIA-CSIC
Dongmo Zhang, Western Sydney University
Inferring
True Voting Outcomes in Homophilic Social Networks (page
2137)
John A. Doucette, New College of Florida and Bloomberg Inc.
Alan Tsang, National University of Singapore
Hadi Hosseini, Rochester Institute of Technology
Kate Larson, University of Waterloo
Robin Cohen, University of Waterloo
COMBIMA:
Truthful, Budget Maintaining, Dynamic Combinatorial Market (page
2140)
Rica Gonen, The Open University of Israel
Ozi Egri, The Open University of Israel
Probabilistic
Physical Search on General Graphs: Approximations and Heuristics (page
2143)
Noam Hazon, Ariel University
Mira Gonen, Ariel University
A
Very Condensed Survey and Critique of Multiagent Deep Reinforcement Learning (page
2146)
Pablo Hernandez-Leal, Borealis AI
Bilal Kartal, Borealis AI
Matthew E. Taylor, Borealis AI
A
Formal Framework for Reasoning about Opportunistic Propensity in Multi-agent
Systems (page
2149)
Jieting Luo, Zhejiang University
John-Jules Meyer, Utrecht University
Max Knobbout, Triple
Norm
Emergence in Multiagent Systems: A Viewpoint Paper (page
2152)
Andreasa Morris-Martin, University of Bath
Marina De Vos, University of Bath
Julian Padget, University of Bath
Solving
the Fair Electric Load Shedding Problem in Developing Countries (page
2155)
Olabambo I. Oluwasuji, University of Southampton
Obaid Malik, University of Southampton
Jie Zhang, University of Southampton
Sarvapali D. Ramchurn, University of Southampton
Multi-Objective
Multi-Agent Decision Making: A Utility-based Analysis and Survey (page
2158)
Roxana Rădulescu, Vrije Universiteit Brussel
Patrick Mannion, National University of Ireland Galway
Diederik M. Roijers, HU University of Appl. Sci. Utrecht
Ann Nowé, Vrije Universiteit Brussel
Why,
Who, What, When and How about Explainability in Human-Agent Systems (page
2161)
Avi Rosenfeld, Jerusalem College of Technology
Ariella Richardson, Jerusalem College of Technology
Agents
Teaching Agents: A Survey on Inter-agent Transfer Learning (page
2165)
Felipe Leno Da Silva, Advanced Institute for AI
Garrett Warnell, Army Research Laboratory
Anna Helena Reali Costa, University of Săo Paulo
Peter Stone, The University of Texas at Austin
Long-Run
Multi-Robot Planning Under Uncertain Task Durations (page
2168)
Carlos Azevedo, Institute For Systems and Robotics, Instituto Superior
Técnico, University of Lisbon
Modeling
and Comparing Robot Behaviors for Anomaly Detection (page
2171)
Davide Azzalini, Politecnico di Milano
Competence-Aware
Systems for Long-Term Autonomy (page
2174)
Connor Basich, University of Massachusetts, Amherst
Computer-aided
Reasoning about Collective Decision Making (page
2176)
Arthur Boixel, University of Amsterdam
Vision
for Decisions: Utilizing Uncertain Real-Time Information and Signaling
for Conservation (page
2179)
Elizabeth Bondi, Harvard University
Efficiency
and Fairness of Resource Utilisation under Uncertainty (page
2182)
Jan Buermann, University of Southampton
Computing
Desirable Partitions in Coalition Formation Games (page
2185)
Martin Bullinger, Technische Universität München
Cost
Effective Interventions in Complex Networks Using Agent-Based Modelling
and Simulations (page
2188)
Theodor Cimpeanu, Teesside University
A
Theoretical Framework for Self-Organized Task Allocation in Large Swarms (page
2191)
John Harwell, University of Minnesota
Adaptive
Agent-Based Simulation for Individualized Training (page
2193)
Johan Källström, Linköping University
Decentralised
Runtime Norm Synthesis (page
2196)
Andreasa Morris-Martin, University of Bath
Value-Aligned
and Explainable Agents for Collective Decision Making: Privacy Application (page
2199)
Francesca Mosca, King's College London
Reinforcement
Learning Algorithms for Autonomous Adaptive Agents (page
2201)
Sindhu Padakandla, Indian Institute of Science
Achieving
Emergent Governance in Competitive Multi-Agent Systems (page
2204)
Michael Pernpeintner, University of Mannheim
A
Utility-Based Perspective on Multi-Objective Multi-Agent Decision Making (page
2207)
Roxana Rădulescu, Vrije Universiteit Brussel
Computational
Methods for Simulating Biased Agents (page
2209)
Jaelle Scheuerman, Tulane University
Truth
Discovery: Who to Trust and What to Believe (page
2211)
Joseph Singleton, Cardiff University
Algorithmic
Fairness for Networked Algorithms (page
2214)
Ana-Andreea Stoica, Columbia University
Towards
Multi-Robot Coordination under Temporal Uncertainty (page
2217)
Charlie Street, University of Oxford
New
Challenges in Matching with Constraints (page
2219)
Zhaohong Sun, University of New South Wales Sydney & Data61 CSIRO
Incomplete
Opinions in Collective Decision Making (page
2222)
Zoi Terzopoulou, Institute for Logic, Language and Computation
Multimodal
Representation Learning for Robotic Cross-Modality Policy Transfer (page
2225)
Miguel Vasco, INESC-ID & Instituto Superior Técnico, University of
Lisbon
Balance
Between Scalability and Optimality in Network Security Games (page
2228)
Kai Wang, Harvard University
Implementing
Securities Based Decision Markets with Stochastic Decision Rules (page
2231)
Wenlong Wang, Massey University
Incentive
Mechanisms for Data Privacy Preservation and Pricing (page
2234)
Mengxiao Zhang, The University of Auckland