|
|
Author
Index
|
|
Faghan,
Yaser (University
of Lisbon)
Extended
Abstract ~ Gambler Bandits and the Regret of Being Ruined
(Page 1664)
|
|
Faltings,
Boi (École
Polytechnique Fédérale de Lausanne (EPFL))
Main
Track ~ Improved Cooperation by Exploiting a Common Signal
(Page 395)
Farges,
Jean-Loup (ONERA
DTIS, Université de Toulouse)
Blue
Sky Ideas Track ~ Autonomous Agents and Multiagent Systems Challenges
in Earth Observation Satellite Constellations
(Page 39)
Fargier,
Hélène (IRIT-CNRS,
Université de Toulouse)
Main
Track ~ A Knowledge Compilation Map for Conditional Preference
Statements-based Languages
(Page 492)
Farinelli,
Alessandro (Università
degli Studi di Verona)
Main
Track ~ Identification of Unexpected Decisions in Partially Observable
Monte-Carlo Planning: A Rule-Based Approach
(Page 889)
Feng,
Lu (University
of Virginia)
Main
Track ~ Safe Multi-Agent Reinforcement Learning via Shielding
(Page 483)
|
|
Ferrando,
Angelo (The
University of Manchester)
Demonstration
Track ~ Strategy RV: A Tool to Approximate ATL Model Checking
under Imperfect Information and Perfect Recall
(Page 1764)
Ferret,
Johan (Google
Research & Inria Lille Nord Europe)
Main
Track ~ Self-Imitation Advantage Learning
(Page 501)
Ferstl,
Ylva (Trinity
College Dublin)
Extended
Abstract ~ It's A Match! Gesture Generation Using Expressive
Parameter Matching
(Page 1495)
Figiel,
Aleksander (TU
Berlin)
Main
Track ~ High-Multiplicity Fair Allocation Made More Practical
(Page 260)
Filimonov,
Alina (Technion
- Israel Institute of Technology)
Main
Track ~ Strategyproof Facility Location Mechanisms on Discrete
Trees (Page 510)
Filliat,
David (U2IS,
ENSTA Paris, Institut Polytechnique de Paris & INRIA)
Extended
Abstract ~ On the Sensory Commutativity of Action Sequences for
Embodied Agents
(Page 1472)
|
|
Fioretto,
Ferdinando (Syracuse
University)
Extended
Abstract ~ Privacy-Preserving and Accountable Multi-agent Learning
(Page 1605)
Fisher,
Michael (University
of Manchester)
JAAMAS
Track ~ Summarising a Framework for the Certification of Reliable
Autonomous Systems
(Page 1733)
Fochetta,
Luca (Politecnico
di Milano)
Main
Track ~ Exploration of Indoor Environments through Predicting
the Layout of Partially Observed Rooms
(Page 836)
Foerster,
Jakob (Facebook
AI Research)
Extended
Abstract ~ Trajectory Diversity for Zero-Shot Coordination
(Page 1593)
Formisano,
Andrea (University
of Udine)
Extended
Abstract ~ A Logic of Inferable in Multi-Agent Systems with Budget
and Costs (Page
1483)
Fowler,
Patrick (Washington
University in St. Louis)
Main
Track ~ Efficient Nonmyopic Online Allocation of Scarce Reusable
Resources (Page
447)
Fox,
James (University
of Oxford)
Main
Track ~ Equilibrium Refinements for Multi-Agent Influence Diagrams:
Theory and Practice
(Page 574)
|
|
Fraga
Pereira, Ramon (Sapienza
University of Rome)
Extended
Abstract ~ Combining LSTMs and Symbolic Approaches for Robust
Plan Recognition
(Page 1634)
Francisco,
Alexandre P. (Universidade
de Lisboa)
Extended
Abstract ~ Eliciting Fairness in Multiplayer Bargaining through
Network-Based Role Assignment
(Page 1683)
Gabai
Schlosberg, Yuval (Ben
Gurion University of the Negev)
Extended
Abstract ~ Partially Cooperative Multi-Agent Periodic Indivisible
Resource Allocation
(Page 1498)
Gabriel,
Iason (DeepMind)
Extended
Abstract ~ Modelling Cooperation in Network Games with Spatio-Temporal
Complexity (Page
1455)
Gaignier,
Fabrice (University
of Paris)
Main
Track ~ Probabilistic Control Argumentation Frameworks
(Page 519)
Gajane,
Pratik (University
of Leoben)
Extended
Abstract ~ Gambler Bandits and the Regret of Being Ruined
(Page 1664)
Galimullin,
Rustam (University
of Bergen)
Main
Track ~ Quantified Announcements and Common Knowledge
(Page 528)
|
|
Ganapathi
Subramanian, Sriram (University
of Waterloo)
Main
Track ~ Partially Observable Mean Field Reinforcement Learning
(Page 537)
Gao,
Zhimin (Auburn
University at Montgomery)
Main
Track ~ A Game Theoretical Analysis of Non-Linear Blockchain
System (Page 323)
García,
Julian (Monash
University)
Main
Track ~ Cooperation and Reputation Dynamics with Reinforcement
Learning (Page
115)
Garcia-Ortiz,
Michael (CitAI,
SMCSE, City University of London)
Extended
Abstract ~ On the Sensory Commutativity of Action Sequences for
Embodied Agents
(Page 1472)
Gargouri,
Anis (University
Artois, CNRS, UMR 8188, CRIL)
Main
Track ~ On a Notion of Monotonic Support for Bipolar Argumentation
Frameworks (Page
546)
Garnelo,
Marta (DeepMind)
Extended
Abstract ~ Pick Your Battles: Interaction Graphs as Population-Level
Objectives for Strategic Diversity
(Page 1501)
Gatti,
Nicola (Politecnico
di Milano)
Main
Track ~ Multi-Agent Coordination in Adversarial Environments
through Signal Mediated Strategies
(Page 269)
|
|
Geist,
Matthieu (Google
Research)
Main
Track ~ Self-Imitation Advantage Learning
(Page 501)
Main
Track ~ Show Me the Way: Intrinsic Motivation from Demonstrations
(Page 620)
Georgara,
Athina (Artificial
Intelligence Research Institute (IIIA-CSIC))
Extended
Abstract ~ A Succinct Representation Scheme for Cooperative Games
under Uncertainty
(Page 1661)
Extended
Abstract ~ Towards a Competence-Based Approach to Allocate Teams
to Tasks (Page
1504)
Gerding,
Enrico H. (University
of Southampton)
Blue
Sky Ideas Track ~ Responsibility Research for Trustworthy Autonomous
Systems (Page
57)
Giacobbe,
Mirco (University
of Oxford)
Extended
Abstract ~ Shielding Atari Games with Bounded Prescience
(Page 1507)
Gianessi,
Paolo (Mines
Saint-Étienne, CNRS, UMR 6158, LIMOS Institut Henri Fayol)
Extended
Abstract ~ A Generic Multi-Agent Model for Resource Allocation
Strategies in Online On-Demand Transport with Autonomous Vehicles
(Page 1489)
Gibescu,
Madeleine (Utrecht
University)
Blue
Sky Ideas Track ~ Sparse Training Theory for Scalable and Efficient
Agents (Page 34)
Gidel,
Gauthier (DeepMind)
Extended
Abstract ~ Pick Your Battles: Interaction Graphs as Population-Level
Objectives for Strategic Diversity
(Page 1501)
|
|
Gijswijt,
Dion (TU
Delft)
Main
Track ~ Achieving Sybil-Proofness in Distributed Work Systems
(Page 1263)
Gilbert,
Hugo (Université
Paris-Dauphine, Université PSL, CNRS, LAMSADE)
Extended
Abstract ~ Maximizing Influence-Based Group Shapley Centrality
(Page 1461)
Giordano,
Joseph P. (University
of Central Florida)
Extended
Abstract ~ Comparison of Desynchronization Methods for a Decentralized
Swarm on a Logistical Resupply Problem
(Page 1510)
Goel,
Shivam (Tufts
University)
Main
Track ~ A Novelty-Centric Agent Architecture for Changing Worlds
(Page 925)
Main
Track ~ SPOTTER: Extending Symbolic Planning Operators through
Targeted Reinforcement Learning
(Page 1118)
Goindani,
Mahak (Purdue
University)
Extended
Abstract ~ Towards Decentralized Social Reinforcement Learning
via Ego-Network Extrapolation
(Page 1512)
Goldweber,
Eli (University
of Michigan)
JAAMAS
Track ~ On Teammate-Pattern-Aware Autonomy
(Page 1730)
Gombolay,
Matthew (Georgia
Institute of Technology)
Main
Track ~ Multi-Agent Graph-Attention Communication and Teaming
(Page 964)
|
|
Gomez,
Andres (University
of St. Gallen)
Demonstration
Track ~ Autonomous Agents on the Edge of Things
(Page 1767)
Gómez,
Jonatan (Universidad
Nacional de Colombia)
JAAMAS
Track ~ A Decentralised Self-Healing Approach for Network Topology
Maintenance (Page
1743)
Gonen,
Rica (The
Open University of Israel)
Extended
Abstract ~ A Global Multi-Sided Market with Ascending-Price Mechanism
(Page 1515)
Goranko,
Valentin (Stockholm
University)
JAAMAS
Track ~ Logic-based Specification and Verification of Homogeneous
Dynamic Multi-agent Systems
(Page 1727)
Gourvès,
Laurent (Université
Paris-Dauphine & Université PSL, CNRS, LAMSADE)
Main
Track ~ Worst-case Bounds for Spending a Common Budget
(Page 288)
Gow,
Jeremy (Queen
Mary University of London)
Main
Track ~ Action Advising with Advice Imitation in Deep Reinforcement
Learning (Page
629)
Goyal,
Aastha (University
of Texas at Austin)
Main
Track ~ Scalable Multiagent Driving Policies for Reducing Traffic
Congestion (Page
386)
|
|
Graves,
Daniel (Huawei
Canada)
Blue
Sky Ideas Track ~ Diverse Auto-Curriculum is Critical for Successful
Real-World Multiagent Learning Systems
(Page 51)
Greenwald,
Amy (Brown
University)
Extended
Abstract ~ Learning Competitive Equilibria in Noisy Combinatorial
Markets (Page
1446)
Grivet
Sébert, Arnaud (Université
Paris-Saclay, CEA, List)
Extended
Abstract ~ Rank Aggregation by Dissatisfaction Minimisation in
the Unavailable Candidate Model
(Page 1518)
Gross-Humbert,
Nathanaël (LIP6,
Sorbonne Université, CNRS)
Extended
Abstract ~ Sequential and Swap Mechanisms for Public Housing
Allocation with Quotas and Neighbourhood-Based Utilities
(Page 1521)
Guaman,
Mateo (Tufts
University)
Main
Track ~ A Novelty-Centric Agent Architecture for Changing Worlds
(Page 925)
Guerra,
Carla (INESC-ID
& Universidade de Lisboa)
Extended
Abstract ~ Teaching Unknown Learners to Classify via Feature
Importance (Page
1524)
Guerra,
Jonathan (Airbus
Defence and Space)
Blue
Sky Ideas Track ~ Autonomous Agents and Multiagent Systems Challenges
in Earth Observation Satellite Constellations
(Page 39)
|
|
Guimarães,
Manuel (INESC-ID
& Universidade de Lisboa)
Extended
Abstract ~ CHARET: Character-centered Approach to Emotion Tracking
in Stories (Page
1469)
Gujar,
Sujit (International
Institute of Information Technology Hyderabad)
Extended
Abstract ~ A Multi-Arm Bandit Approach To Subset Selection Under
Constraints (Page
1492)
Extended
Abstract ~ We might walk together, but I run faster: Network
Fairness and Scalability in Blockchains
(Page 1539)
Guo,
Mingyu (University
of Adelaide)
Main
Track ~ Mechanism Design for Public Projects via Neural Networks
(Page 1380)
Guo,
Runqi (University
of Adelaide)
Main
Track ~ Mechanism Design for Public Projects via Neural Networks
(Page 1380)
Guo,
Shangwei (Nanyang
Technological University)
Main
Track ~ Temporal Watermarks for Deep Reinforcement Learning Models
(Page 314)
Guo,
Xiaoxi (Peking
University)
Main
Track ~ Sequential Mechanisms for Multi-type Resource Allocation
(Page 1209)
Gupta,
Jayesh K. (Stanford
University)
Main
Track ~ Deep Implicit Coordination Graphs for Multi-agent Reinforcement
Learning (Page
764)
Main
Track ~ Scalable Anytime Planning for Multi-Agent MDPs
(Page 341)
|
|
Gupta,
Siddharth (Ben-Gurion
University of the Negev)
Main
Track ~ Multivariate Analysis of Scheduling Fair Competitions
(Page 555)
Gupta,
Vaibhav (International
Institute of Information Technology, Hyderabad)
Main
Track ~ Action Selection for Composable Modular Deep Reinforcement
Learning (Page
565)
Gutierrez,
Julian (Monash
University)
Main
Track ~ Mean-Payoff Games with ω-Regular Specifications
(Page 1272)
Main
Track ~ Multi-Agent Reinforcement Learning with Temporal Logic
Specifications
(Page 583)
Gyawali,
Saurav (Tufts
University)
Main
Track ~ A Novelty-Centric Agent Architecture for Changing Worlds
(Page 925)
Haeri,
Hossein (University
of Massachusetts, Lowell)
Doctoral
Consortium ~ Reward-Sharing Relational Networks in Multi-Agent
Reinforcement Learning as a Framework for Emergent Behavior
(Page 1808)
Hailes,
Stephen (University
College London)
Main
Track ~ Cooperation and Reputation Dynamics with Reinforcement
Learning (Page
115)
Hammond,
Lewis (University
of Oxford)
Main
Track ~ Equilibrium Refinements for Multi-Agent Influence Diagrams:
Theory and Practice
(Page 574)
Main
Track ~ Multi-Agent Reinforcement Learning with Temporal Logic
Specifications
(Page 583)
|
|
Han,
The Anh (Teesside
Univeresity)
Extended
Abstract ~ Promoting Fair Proposers, Fair Responders or Both?
Cost-Efficient Interference in the Spatial Ultimatum Game
(Page 1480)
Harabor,
Daniel (Monash
University)
Extended
Abstract ~ Anytime Multi-Agent Path Finding via Large Neighborhood
Search (Page 1581)
Harrenstein,
Paul (University
of Oxford)
Main
Track ~ A Hotelling-Downs Framework for Party Nominees
(Page 593)
Hasanbeig,
Mohammadhosein (University
of Oxford)
Extended
Abstract ~ Shielding Atari Games with Bounded Prescience
(Page 1507)
Hatanaka,
Wataru (RICOH
COMPANY, LTD.)
Extended
Abstract ~ Simultaneous Learning of Moving and Active Perceptual
Policies for Autonomous Robot
(Page 1527)
Hayes,
Conor F. (National
University of Ireland Galway)
Extended
Abstract ~ Distributional Monte Carlo Tree Search for Risk-Aware
and Multi-Objective Reinforcement Learning
(Page 1530)
Hazrati,
Naieme (Free
University of Bolzano)
Doctoral
Consortium ~ Impact of Recommender Systems on the Dynamics of
Users' Choices
(Page 1811)
|
|
He,
Keyang (University
of Georgia)
Main
Track ~ Cooperative-Competitive Reinforcement Learning with History-Dependent
Rewards (Page
602)
He,
Chloe (Imperial
College London)
Demonstration
Track ~ Argflow: A Toolkit for Deep Argumentative Explanations
for Neural Networks
(Page 1761)
He,
Tairan (Shanghai
Jiao Tong University)
Main
Track ~ Energy-Based Imitation Learning
(Page 809)
Helsen,
Jan (Vrije
Universiteit Brussel)
Main
Track ~ Scalable Optimization for Wind Farm Control using Coordination
Graphs (Page 1362)
Henderson,
Peter (Stanford
University)
Main
Track ~ TDprop: Does Adaptive Optimization With Jacobi Preconditioning
Help Temporal Difference Learning?
(Page 1082)
Hickert,
Cameron (Harvard
University)
Extended
Abstract ~ Stratified Experience Replay: Correcting Multiplicity
Bias in Off-Policy Reinforcement Learning
(Page 1486)
Hindriks,
Koen (Vrije
Universiteit Amsterdam)
JAAMAS
Track ~ Agent Programming in the Cognitive Era
(Page 1718)
|
|
Hirashima,
Kazuki (Mitsubishi
Electric Corporation)
Extended
Abstract ~ Coverage Control under Connectivity Constraints
(Page 1554)
Ho,
Chien-Ju (Washington
University in St. Louis)
Main
Track ~ Efficient Nonmyopic Online Allocation of Scarce Reusable
Resources (Page
447)
Hofmann,
Katja (Microsoft
Research)
Extended
Abstract ~ Deep Interactive Bayesian Reinforcement Learning via
Meta-Learning
(Page 1712)
Extended
Abstract ~ Evaluating the Robustness of Collaborative Agents
(Page 1560)
Hogrebe,
Tobias Alexander (Heinrich-Heine-Universität
Düsseldorf)
Main
Track ~ Complexity of Scheduling and Predicting Round-Robin Tournaments
(Page 178)
Hoogeveen,
Han (Utrecht
University)
Demonstration
Track ~ TORS: A Train Unit Shunting and Servicing Simulator
(Page 1785)
Howley,
Enda (National
University of Ireland Galway)
Extended
Abstract ~ Distributional Monte Carlo Tree Search for Risk-Aware
and Multi-Objective Reinforcement Learning
(Page 1530)
Hsiao,
Vincent (University
of Maryland)
Extended
Abstract ~ Approximating Spatial Evolutionary Games using Bayesian
Networks (Page
1533)
|
|
Hu,
Hengyuan (Facebook
AI Research)
Extended
Abstract ~ Trajectory Diversity for Zero-Shot Coordination
(Page 1593)
Hu,
Xiaohui (The
Institute of Software, Chinese Academy of Sciences)
Extended
Abstract ~ Intrinsic Motivated Multi-Agent Communication
(Page 1668)
Hua,
Yun (East
China Normal University)
Main
Track ~ Structured Diversification Emergence via Reinforced Organization
Control and Hierachical Consensus Learning
(Page 773)
Huang,
Taoan (University
of Southern California)
Main
Track ~ Learning Node-Selection Strategies in Bounded-Suboptimal
Conflict-Based Search for Multi-Agent Path Finding
(Page 611)
Hübner,
Jomi F. (Universidade
Federal de Santa Catarina)
Main
Track ~ Active Perception within BDI Agents Reasoning Cycle
(Page 1218)
Hughes,
Edward (DeepMind)
Extended
Abstract ~ Modelling Cooperation in Network Games with Spatio-Temporal
Complexity (Page
1455)
Huisman,
Bob (Nederlandse
Spoorwegen)
Demonstration
Track ~ TORS: A Train Unit Shunting and Servicing Simulator
(Page 1785)
|
|
Hung,
Hayley (Delft
University of Technology)
JAAMAS
Track ~ Facial Feedback for Reinforcement Learning: A Case Study
and Offline Analysis Using the TAMER Framework
(Page 1735)
Hunter,
Julie (LINAGORA
Labs)
Extended
Abstract ~ Interpretive Blindness and the Impossibility of Learning
from Testimony
(Page 1449)
Hussenot,
Léonard (Google
Research, Brain Team & Univ. Lille, CNRS, Inria Scool, UMR 9189 CRIStAL)
Main
Track ~ Show Me the Way: Intrinsic Motivation from Demonstrations
(Page 620)
İlhan,
Ercüment (Queen
Mary University of London)
Main
Track ~ Action Advising with Advice Imitation in Deep Reinforcement
Learning (Page
629)
Imajo,
Kentaro (Preferred
Networks, Inc.)
Main
Track ~ Trader-Company Method: A Metaheuristics for Interpretable
Stock Price Prediction
(Page 656)
Imber,
Aviram (Technion
- Israel Institute of Technology)
Main
Track ~ Computing the Extremal Possible Ranks with Incomplete
Preferences (Page
638)
Main
Track ~ Probabilistic Inference of Winners in Elections by Independent
Random Voters
(Page 647)
Inoue,
Katsumi (National
Institute of Informatics & The Graduate University for Advanced Studies)
Main
Track ~ Partial Robustness in Team Formation: Bridging the Gap
between Robustness and Resilience
(Page 1154)
|
|
Irissappane,
Athirai A. (University
of Washington)
Main
Track ~ Learning Complex Policy Distribution with CEM Guided
Adversarial Hypernetwork
(Page 1308)
Isaac,
William S. (DeepMind)
Extended
Abstract ~ Modelling Cooperation in Network Games with Spatio-Temporal
Complexity (Page
1455)
Islam,
Zahoor Ul (Umeå
University)
Doctoral
Consortium ~ Software Engineering Methods for Responsible Artificial
Intelligence (Page
1814)
Istrate,
Gabriel (West
University of Timişoara & the e-Austria Research Institute)
Blue
Sky Ideas Track ~ Models We Can Trust: Toward a Systematic Discipline
of (Agent-Based) Model Interpretation and Validation
(Page 6)
Ito,
Katsuya (Preferred
Networks, Inc.)
Main
Track ~ Trader-Company Method: A Metaheuristics for Interpretable
Stock Price Prediction
(Page 656)
Ivanov,
Dmitry (JetBrains
Research & HSE University)
Extended
Abstract ~ Balancing Rational and Other-Regarding Preferences
in Cooperative-Competitive Environments
(Page 1536)
Jabbari,
Shahin (Harvard
University)
Main
Track ~ Active Screening for Recurrent Diseases: A Reinforcement
Learning Approach
(Page 992)
|
|
Jafarkhani,
Hamid (University
of California, Irvine)
Extended
Abstract ~ Distributed Q-Learning with State Tracking for Multi-agent
Networked Control
(Page 1692)
Jain,
Anurag (International
Institute of Information Technology, Hyderabad)
Extended
Abstract ~ We might walk together, but I run faster: Network
Fairness and Scalability in Blockchains
(Page 1539)
Jain,
Pallavi (Indian
Institute of Technology Jodhpur)
Main
Track ~ Partition Aggregation for Participatory Budgeting
(Page 665)
Extended
Abstract ~ Preserving Consistency for Liquid Knapsack Voting
(Page 1542)
Jamroga,
Wojciech (Polish
Academy of Sciences & University of Luxembourg)
Extended
Abstract ~ Strategic Abilities of Asynchronous Agents: Semantic
Side Effects (Page
1545)
Demonstration
Track ~ STV+Reductions: Towards Practical Verification of Strategic
Ability Using Model Reductions
(Page 1770)
Jamshidi,
Pooyan (University
of South Carolina)
Main
Track ~ Accelerating Recursive Partition-Based Causal Structure
Learning (Page
1028)
Jansen,
Nils (Radboud
University)
Main
Track ~ AlwaysSafe: Reinforcement Learning without Safety Constraint
Violations during Training
(Page 1226)
Javidian,
Mohammad Ali (Purdue
University)
Main
Track ~ Accelerating Recursive Partition-Based Causal Structure
Learning (Page
1028)
|
|
Jeong,
JiHyun (Cornell
University)
Doctoral
Consortium ~ Leveraging Social Interactions in Human-Agent Decision-Making
(Page 1816)
Ji,
Jianmin (University
of Science and Technology of China)
Main
Track ~ Parallel Curriculum Experience Replay in Distributed
Reinforcement Learning
(Page 782)
Jiang,
Arthur (Microsoft
ARD Incubation Team)
Main
Track ~ Cooperative Policy Learning with Pre-trained Heterogeneous
Observation Representations
(Page 1191)
Jiang,
Minqi (University
College London)
Main
Track ~ Grid-to-Graph: Flexible Spatial Relational Inductive
Biases for Reinforcement Learning
(Page 674)
Jiang,
Yuan (Nanjing
University)
Main
Track ~ Imitation Learning from Pixel-Level Demonstrations by
HashReward (Page
279)
Extended
Abstract ~ Solving 3D Bin Packing Problem via Multimodal Deep
Reinforcement Learning
(Page 1548)
Jiang,
Zhengyao (University
College London)
Main
Track ~ Grid-to-Graph: Flexible Spatial Relational Inductive
Biases for Reinforcement Learning
(Page 674)
Jin,
Bo (East
China Normal University & SRIAS)
Main
Track ~ Structured Diversification Emergence via Reinforced Organization
Control and Hierachical Consensus Learning
(Page 773)
Jin,
Zhi (Peking
University)
Extended
Abstract ~ Fast Adaptation to External Agents via Meta Imitation
Counterfactual Regret Advantage
(Page 1709)
Jonker,
Catholijn M. (Delft
University of Technology)
Main
Track ~ Axies: Identifying and Evaluating Context-Specific Values
(Page 799)
Blue
Sky Ideas Track ~ Responsibility Research for Trustworthy Autonomous
Systems (Page
57)
Demonstration
Track ~ A Collaborative Platform for Identifying Context-Specific
Values (Page 1773)
|
|
Kaczmarczyk,
Andrzej (TU
Berlin)
Main
Track ~ High-Multiplicity Fair Allocation Made More Practical
(Page 260)
Kagita,
Venkateswara Rao (National
Institute of Technology)
Main
Track ~ Committee Selection using Attribute Approvals
(Page 683)
Kamarthi,
Harshavardhan (Georgia
Institute of Technology)
Main
Track ~ Reinforcement Learning for Unified Allocation and Patrolling
in Signaling Games with Uncertainty
(Page 1353)
Kampik,
Timotheus (Umeå
University)
Extended
Abstract ~ Toward Consistent Agreement Approximation in Abstract
Argumentation and Beyond
(Page 1551)
Demonstration
Track ~ Autonomous Agents on the Edge of Things
(Page 1767)
Kanaa,
David (Polytechnique
Montréal & Mila)
Main
Track ~ TDprop: Does Adaptive Optimization With Jacobi Preconditioning
Help Temporal Difference Learning?
(Page 1082)
Kaneko,
Yusuke (CyberAgent,
Inc.)
Main
Track ~ Off-Policy Exploitability-Evaluation in Two-Player Zero-Sum
Markov Games (Page
78)
Kanthan,
Leslie (Turing
Intelligence Technology)
Extended
Abstract ~ Call Markets with Adaptive Clearing Intervals
(Page 1587)
|
|
Kasenberg,
Daniel (Tufts
University)
Main
Track ~ SPOTTER: Extending Symbolic Planning Operators through
Targeted Reinforcement Learning
(Page 1118)
Kashima,
Hisashi (Kyoto
University)
Main
Track ~ Grab the Reins of Crowds: Estimating the Effects of Crowd
Movement Guidance Using Causal Inference
(Page 1290)
Kasichainula,
Keshav (University
of Houston)
Main
Track ~ A Game Theoretical Analysis of Non-Linear Blockchain
System (Page 323)
Katz,
Jonathan (University
of Maryland)
Extended
Abstract ~ RPPLNS: Pay-per-last-N-shares with a Randomised Twist
(Page 1569)
Kaul,
Bharat (Intel
Corporation)
Main
Track ~ SEERL: Sample Efficient Ensemble Reinforcement Learning
(Page 1100)
Kawaguchi,
Atsuo (RICOH
COMPANY, LTD.)
Extended
Abstract ~ Simultaneous Learning of Moving and Active Perceptual
Policies for Autonomous Robot
(Page 1527)
Kawajiri,
Shota (Mitsubishi
Electric Corporation)
Extended
Abstract ~ Coverage Control under Connectivity Constraints
(Page 1554)
|
|
Kawasaki,
Takehiro (Kyushu
University)
Main
Track ~ Mechanism Design for Housing Markets over Social Networks
(Page 692)
Kelkar,
Amol (i3AI.org)
Blue
Sky Ideas Track ~ Cognitive Homeostatic Agents
(Page 12)
Kephart,
Jeffrey O. (IBM
Thomas J. Research Center)
Blue
Sky Ideas Track ~ Multi-modal Agents for Business Intelligence
(Page 17)
Keskin,
Mehmet Onur (Özyeğin
University)
Extended
Abstract ~ Solver Agent: Towards Emotional and Opponent-Aware
Agent for Human-Robot Negotiation
(Page 1557)
Ketter,
Wolfgang (University
of Cologne)
Main
Track ~ Siting and Sizing of Charging Infrastructure for Shared
Autonomous Electric Fleets
(Page 88)
Khadilkar,
Harshad (TCS
Research)
Extended
Abstract ~ SIBRE: Self Improvement Based REwards for Adaptive
Feedback in Reinforcement Learning
(Page 1607)
Khadka,
Shauharda (MIcrosoft)
Extended
Abstract ~ Dynamic Skill Selection for Learning Joint Actions
(Page 1637)
Khaluf,
Yara (Ghent
University - imec)
Main
Track ~ No More Hand-Tuning Rewards: Masked Constrained Policy
Optimization for Safe Reinforcement Learning
(Page 1344)
|
|
Khan,
Arindam (Indian
Institute of Science)
Main
Track ~ Group Fairness for Knapsack Problems
(Page 1001)
Khan,
Md. Mosaddek (University
of Dhaka)
Main
Track ~ A Local Search Based Approach to Solve Continuous DCOPs
(Page 1127)
Main
Track ~ Accelerating Recursive Partition-Based Causal Structure
Learning (Page
1028)
Khan,
Shakil M. (Ronin
Institute)
Main
Track ~ Knowing Why On the Dynamics of Knowledge about
Actual Causes in the Situation Calculus
(Page 701)
Killian,
Jackson A. (Harvard
University)
Main
Track ~ Beyond "To Act or Not to Act": Fast Lagrangian
Approaches to General Multi-Action Restless Bandits
(Page 710)
Kim,
Yan (University
of Luxembourg)
Demonstration
Track ~ STV+Reductions: Towards Practical Verification of Strategic
Ability Using Model Reductions
(Page 1770)
Kimelfeld,
Benny (Technion
- Israel Institute of Technology)
Main
Track ~ Computing the Extremal Possible Ranks with Incomplete
Preferences (Page
638)
Main
Track ~ Probabilistic Inference of Winners in Elections by Independent
Random Voters
(Page 647)
Kirley,
Michael (The
University of Melbourne)
Main
Track ~ Extended Goal Recognition: A Planning-Based Model for
Strategic Deception
(Page 871)
|
|
Kjellström,
Hedvig (KTH
Royal Institute of Technology)
Demonstration
Track ~ A Framework for Integrating Gesture Generation Models
into Interactive Conversational Agents
(Page 1779)
Knop,
Dušan (Czech
Technical University in Prague)
Main
Track ~ High-Multiplicity Fair Allocation Made More Practical
(Page 260)
Knott,
Paul (University
of Nottingham)
Extended
Abstract ~ Evaluating the Robustness of Collaborative Agents
(Page 1560)
Kochenderfer,
Mykel J. (Stanford
University)
Main
Track ~ Deep Implicit Coordination Graphs for Multi-agent Reinforcement
Learning (Page
764)
Main
Track ~ Scalable Anytime Planning for Multi-Agent MDPs
(Page 341)
Koenig,
Sven (University
of Southern California)
Main
Track ~ Learning Node-Selection Strategies in Bounded-Suboptimal
Conflict-Based Search for Multi-Agent Path Finding
(Page 611)
Extended
Abstract ~ Anytime Multi-Agent Path Finding via Large Neighborhood
Search (Page 1581)
Kolaitis,
Phokion G. (University
of California, Santa Cruz & IBM Research)
Main
Track ~ Classifying the Complexity of the Possible Winner Problem
on Partial Chains
(Page 297)
Kompella,
Varun (Sony
AI)
Main
Track ~ Multiagent Epidemiologic Inference through Realtime Contact
Tracing (Page
1182)
|
|
Konieczny,
Sébastien (CNRS,
University Artois, UMR 8188, CRIL)
Main
Track ~ On a Notion of Monotonic Support for Bipolar Argumentation
Frameworks (Page
546)
Kraiczy,
Sonja (University
of Oxford)
Extended
Abstract ~ On Weakly and Strongly Popular Rankings
(Page 1563)
Krausburg,
Tabajara (Pontifical
Catholic University of Rio Grande do Sul & Clausthal University of Technology)
Main
Track ~ Feasible Coalition Sequences
(Page 719)
Kroening,
Daniel (Amazon,
Inc.)
Extended
Abstract ~ Shielding Atari Games with Bounded Prescience
(Page 1507)
Kucherenko,
Taras (KTH
Royal Institute of Technology)
Demonstration
Track ~ A Framework for Integrating Gesture Generation Models
into Interactive Conversational Agents
(Page 1779)
Kumar,
Akshat (Singapore
Management University)
Main
Track ~ Action Selection for Composable Modular Deep Reinforcement
Learning (Page
565)
Extended
Abstract ~ Approximate Difference Rewards for Scalable Multigent
Reinforcement Learning
(Page 1655)
Demonstration
Track ~ Ship-GAN: Generative Modeling Based Maritime Traffic
Simulator (Page
1755)
Kumar,
Rajiv Ranjan (Singapore
Management University)
Main
Track ~ Adaptive Operating Hours for Improved Performance of
Taxi Fleets (Page
728)
|
|
Kumar,
Vikas (University
of Delhi & Central University of Rajasthan)
Main
Track ~ Committee Selection using Attribute Approvals
(Page 683)
Kurpiewski,
Damian (Polish
Academy of Sciences)
Demonstration
Track ~ STV+Reductions: Towards Practical Verification of Strategic
Ability Using Model Reductions
(Page 1770)
Kutay,
Cat (Charles
Darwin University)
Extended
Abstract ~ Personalising the Dialogue of Relational Agents for
First-Time Users
(Page 1622)
Lackner,
Martin (TU
Wien)
Main
Track ~ Approval-Based Shortlisting
(Page 737)
Extended
Abstract ~ Fairness in Long-Term Participatory Budgeting
(Page 1566)
LaCroix,
Travis (Université
de Montréal & University of Toronto)
Main
Track ~ Emergent Communication under Competition
(Page 974)
Lagniez,
Jean-Marie (CRIL-CNRS,
Université d'Artois)
Main
Track ~ Partial Robustness in Team Formation: Bridging the Gap
between Robustness and Resilience
(Page 1154)
Lai,
Edmund (Auckland
University of Technology)
Demonstration
Track ~ Graph-based Self-Adaptive Conversational Agent
(Page 1791)
|
|
Lam,
Alexander (University
of New South Wales Sydney)
Doctoral
Consortium ~ Balancing Fairness, Efficiency and Strategy-Proofness
in Voting and Facility Location Problems
(Page 1818)
Lanctot,
Marc (DeepMind)
Extended
Abstract ~ Sound Algorithms in Imperfect Information Games
(Page 1674)
Lau,
Hoong Chuin (Singapore
Management University)
Extended
Abstract ~ Approximate Difference Rewards for Scalable Multigent
Reinforcement Learning
(Page 1655)
Lauren,
Stefan (Imperial
College London)
Main
Track ~ Aggregating Bipolar Opinions
(Page 746)
Law,
Matthew V. (Cornell
University)
Doctoral
Consortium ~ Intention-Aware Human-Robot Collaborative Design
(Page 1820)
Lazaridou,
Angeliki (Deepmind)
Main
Track ~ Emergent Communication under Competition
(Page 974)
Lazos,
Philip (Sapienza
University of Rome)
Extended
Abstract ~ RPPLNS: Pay-per-last-N-shares with a Randomised Twist
(Page 1569)
|
|
Lederer,
Patrick (Technische
Universität München)
Main
Track ~ On the Indecisiveness of Kelly-Strategyproof Social Choice
Functions (Page
251)
Doctoral
Consortium ~ Non-manipulability in Set-valued and Probabilistic
Social Choice Theory
(Page 1823)
Lee,
Cheng-Kuang (NVIDIA
Corporation)
Extended
Abstract ~ A Distributional Perspective on Value Function Factorization
Methods for Multi-Agent Reinforcement Learning
(Page 1671)
Lee,
Chun-Yi (National
Tsing Hua University)
Extended
Abstract ~ A Distributional Perspective on Value Function Factorization
Methods for Multi-Agent Reinforcement Learning
(Page 1671)
Lee,
Wee Sun (National
University of Singapore)
Main
Track ~ State-Aware Variational Thompson Sampling for Deep Q-Networks
(Page 124)
Leibo,
Joel Z. (DeepMind)
Extended
Abstract ~ Modelling Cooperation in Network Games with Spatio-Temporal
Complexity (Page
1455)
León,
Borja G. (Imperial
College London)
Main
Track ~ An Abstraction-based Method to Check Multi-Agent Deep
Reinforcement-Learning Behaviors
(Page 474)
|
|
Lertvittayakumjorn,
Piyawat (Imperial
College London)
Demonstration
Track ~ Argflow: A Toolkit for Deep Argumentative Explanations
for Neural Networks
(Page 1761)
Lesca,
Julien (Université
Paris-Dauphine & Université PSL, CNRS, LAMSADE)
Main
Track ~ Worst-case Bounds for Spending a Common Budget
(Page 288)
Lespérance,
Yves (York
University)
Main
Track ~ Knowing Why On the Dynamics of Knowledge about
Actual Causes in the Situation Calculus
(Page 701)
Lev,
Omer (Ben-Gurion
University of the Negev)
Main
Track ~ Predicting Voting Outcomes in Presence of Communities
(Page 151)
Main
Track ~ The Price is (Probably) Right: Learning Market Equilibria
from Samples (Page
755)
Extended
Abstract ~ Learning Cooperative Solution Concepts from Voting
Behavior: A Case Study on the Israeli Knesset
(Page 1572)
Lev
Lehman, Rotem (Ben
Gurion University of the Negev)
Extended
Abstract ~ Partial Disclosure of Private Dependencies in Privacy
Preserving Planning
(Page 1575)
Levin,
Simon A. (Princeton
University)
Extended
Abstract ~ Social Network Interventions to Prevent Reciprocity-driven
Polarization (Page
1643)
Levy,
Jordi (IIIA-CSIC)
Main
Track ~ A Heuristic Algorithm for Multi-Agent Vehicle Routing
with Automated Negotiation
(Page 404)
|
|
Li,
Bo (The
Hong Kong Polytechnic University)
Main
Track ~ Multi-Robot Task Allocation-Complexity and Approximation
(Page 133)
Li,
Chenghao (Tsinghua
University)
Main
Track ~ Modeling the Interaction between Agents in Cooperative
Multi-Agent Reinforcement Learning
(Page 853)
Li,
Fu (University
of Texas at Austin)
Extended
Abstract ~ Object Allocation Over a Network of Objects: Mobile
Agents with Strict Preferences
(Page 1578)
Li,
Guangliang (Ocean
University of China)
JAAMAS
Track ~ Facial Feedback for Reinforcement Learning: A Case Study
and Offline Analysis Using the TAMER Framework
(Page 1735)
Li,
Jiaoyang (University
of Southern California)
Extended
Abstract ~ Anytime Multi-Agent Path Finding via Large Neighborhood
Search (Page 1581)
Li,
Lingbo (Turing
Intelligence Technology)
Extended
Abstract ~ Call Markets with Adaptive Clearing Intervals
(Page 1587)
Li,
Mickey (University
of Bristol)
Extended
Abstract ~ Reliability-Aware Multi-UAV Coverage Path Planning
using a Genetic Algorithm
(Page 1584)
|
|
Li,
Sheng (Stanford
University)
Main
Track ~ Deep Implicit Coordination Graphs for Multi-agent Reinforcement
Learning (Page
764)
Li,
Shuxin (Nanyang
Technological University)
Main
Track ~ Temporal Watermarks for Deep Reinforcement Learning Models
(Page 314)
Li,
Weihua (Auckland
University of Technology)
Extended
Abstract ~ Learning Policies for Effective Incentive Allocation
in Unknown Social Networks
(Page 1701)
Demonstration
Track ~ Graph-based Self-Adaptive Conversational Agent
(Page 1791)
Li,
Wenhao (East
China Normal University)
Main
Track ~ Structured Diversification Emergence via Reinforced Organization
Control and Hierachical Consensus Learning
(Page 773)
Li,
Yuyu (University
of Science and Technology of China)
Main
Track ~ Parallel Curriculum Experience Replay in Distributed
Reinforcement Learning
(Page 782)
Liang,
Yu (Penn
State University)
Main
Track ~ Let the DOCTOR Decide Whom to Test: Adaptive Testing
Strategies to Tackle the COVID-19 Pandemic
(Page 790)
Libin,
Pieter J.K. (Hasselt
University)
Main
Track ~ Scalable Optimization for Wind Farm Control using Coordination
Graphs (Page 1362)
|
|
Lin,
Anthony W. (Technical
University of Kaiserslautern, MPI SWS)
Main
Track ~ Regular Model Checking Approach to Knowledge Reasoning
over Parameterized Systems
(Page 1254)
Lin,
Sen (Arizona
State University)
Extended
Abstract ~ Distributed Q-Learning with State Tracking for Multi-agent
Networked Control
(Page 1692)
Liscio,
Enrico (Delft
University of Technology)
Main
Track ~ Axies: Identifying and Evaluating Context-Specific Values
(Page 799)
Demonstration
Track ~ A Collaborative Platform for Identifying Context-Specific
Values (Page 1773)
Lisowski,
Grzegorz (University
of Warwick)
Main
Track ~ A Hotelling-Downs Framework for Party Nominees
(Page 593)
Liu,
Bo (Institute
of Automation, Chinese Academy of Sciences)
Main
Track ~ Learning Correlated Communication Topology in Multi-Agent
Reinforcement learning
(Page 456)
Liu,
Buhong (King's
College London)
Extended
Abstract ~ Call Markets with Adaptive Clearing Intervals
(Page 1587)
|
|
Liu,
Kun (Peking
University)
Extended
Abstract ~ Fast Adaptation to External Agents via Meta Imitation
Counterfactual Regret Advantage
(Page 1709)
Liu,
Minghuan (Shanghai
Jiao Tong University)
Main
Track ~ Energy-Based Imitation Learning
(Page 809)
Liu,
Siqi (DeepMind)
Extended
Abstract ~ Pick Your Battles: Interaction Graphs as Population-Level
Objectives for Strategic Diversity
(Page 1501)
Liu,
Tie-Yan (Microsoft
Research)
Main
Track ~ Cooperative Policy Learning with Pre-trained Heterogeneous
Observation Representations
(Page 1191)
Liu,
Xiaolong (Sun
Yat-sen University)
Extended
Abstract ~ Solid Semantics and Extension Aggregation Using Quota
Rules under Integrity Constraints
(Page 1590)
Liu,
Yang (Nanyang
Technological University)
Main
Track ~ Temporal Watermarks for Deep Reinforcement Learning Models
(Page 314)
Liu,
Zhengshang (The
University of Melbourne)
Main
Track ~ Deceptive Reinforcement Learning for Privacy-Preserving
Planning (Page
818)
|
|
Liu,
Ziqi (University
College London)
Main
Track ~ Learning Correlated Communication Topology in Multi-Agent
Reinforcement learning
(Page 456)
Logan,
Brian (Utrecht
University)
Main
Track ~ Intention Progression using Quantitative Summary Information
(Page 1416)
Logan,
Brian (University
of Nottingham)
JAAMAS
Track ~ Agent Programming in the Cognitive Era
(Page 1718)
Lomuscio,
Alessio (AAMAS-2021
General Chair)
Welcome Message from the Chairs
Lopes,
Manuel (INESC-ID
& Universidade de Lisboa)
Extended
Abstract ~ Teaching Unknown Learners to Classify via Feature
Importance (Page
1524)
Lorini,
Emiliano (IRIT-CNRS,
Toulouse University)
Main
Track ~ A Logic of Evaluation
(Page 827)
Louis,
Anand (Indian
Institute of Science)
Main
Track ~ Group Fairness for Knapsack Problems
(Page 1001)
|
|
Lu,
Wei (Massachusetts
Institute of Technology)
Extended
Abstract ~ Learning Cooperative Solution Concepts from Voting
Behavior: A Case Study on the Israeli Knesset
(Page 1572)
Lu,
Yiwen (Tsinghua
University)
Main
Track ~ Modeling the Interaction between Agents in Cooperative
Multi-Agent Reinforcement Learning
(Page 853)
Luo,
Jun (Huawei
Canada)
Blue
Sky Ideas Track ~ Diverse Auto-Curriculum is Critical for Successful
Real-World Multiagent Learning Systems
(Page 51)
Luo,
Tie (Missouri
University of Science and Technology)
Extended
Abstract ~ A Blockchain-Enabled Quantitative Approach to Trust
and Reputation Management with Sparse Evidence
(Page 1707)
Luperto,
Matteo (Università
degli Studi di Milano)
Main
Track ~ Exploration of Indoor Environments through Predicting
the Layout of Partially Observed Rooms
(Page 836)
Lupu,
Andrei (McGill
University & Mila)
Extended
Abstract ~ Trajectory Diversity for Zero-Shot Coordination
(Page 1593)
Lyu,
Xueguang (Northeastern
University)
Main
Track ~ Contrasting Centralized and Decentralized Critics in
Multi-Agent Reinforcement Learning
(Page 844)
Ma,
Biyang (Northumbria
University)
Demonstration
Track ~ ATPT: Automate Typhoon Contingency Plan Generation from
Text (Page 1788)
|
|
Ma,
Chaofan (Zhongyuan
University of Technology)
Main
Track ~ Drone Formation Control via Belief-Correlated Imitation
Learning (Page
1407)
Ma,
Xiaoteng (Tsinghua
University)
Main
Track ~ Modeling the Interaction between Agents in Cooperative
Multi-Agent Reinforcement Learning
(Page 853)
Mańdziuk,
Jacek (Warsaw
University of Technology)
Main
Track ~ Evolution of Strategies in Sequential Security Games
(Page 1434)
Macke,
William (University
of Texas at Austin)
Main
Track ~ Scalable Multiagent Driving Policies for Reducing Traffic
Congestion (Page
386)
Mailly,
Jean-Guy (University
of Paris)
Main
Track ~ Probabilistic Control Argumentation Frameworks
(Page 519)
Maity,
Suman Kalyan (Northwestern
University)
Main
Track ~ Network Robustness via Global k-cores
(Page 438)
Majumdar,
Somdeb (Intel
Labs)
Extended
Abstract ~ Dynamic Skill Selection for Learning Joint Actions
(Page 1637)
|
|
Malladi,
Tejasvi (TCS
Research)
Main
Track ~ To hold or not to hold? - Reducing Passenger Missed
Connections in Airlines using Reinforcement Learning
(Page 862)
Malvone,
Vadim (Télécom
Paris)
Demonstration
Track ~ Strategy RV: A Tool to Approximate ATL Model Checking
under Imperfect Information and Perfect Recall
(Page 1764)
Maly,
Jan (TU
Wien)
Main
Track ~ Approval-Based Shortlisting
(Page 737)
Extended
Abstract ~ Fairness in Long-Term Participatory Budgeting
(Page 1566)
Mamun-Or-Rashid,
Md. (University
of Dhaka)
Main
Track ~ Accelerating Recursive Partition-Based Causal Structure
Learning (Page
1028)
Mancheva,
Lyuba (University
Grenoble Alpes, LIG)
Main
Track ~ An Agent-Based Model to Predict Pedestrians Trajectories
with an Autonomous Vehicle in Shared Spaces
(Page 1010)
Mangal,
Pranav (Imperial
College London)
Demonstration
Track ~ Argflow: A Toolkit for Deep Argumentative Explanations
for Neural Networks
(Page 1761)
Manlove,
David (University
of Glasgow)
Extended
Abstract ~ On Weakly and Strongly Popular Rankings
(Page 1563)
Mannion,
Patrick (National
University of Ireland Galway)
Extended
Abstract ~ Distributional Monte Carlo Tree Search for Risk-Aware
and Multi-Objective Reinforcement Learning
(Page 1530)
Extended
Abstract ~ Tunable Behaviours in Sequential Social Dilemmas using
Multi-Objective Reinforcement Learning
(Page 1610)
|
|
Manoonpong,
Poramate (Vidyasirimedhi
Institute of Science and Technology (VISTEC))
Extended
Abstract ~ Learning to Cooperate with Unseen Agents Through Meta-Reinforcement
Learning (Page
1478)
Marathe,
Madhav (University
of Virginia)
Extended
Abstract ~ Cohorting to Isolate Asymptomatic Spreaders: An Agent-Based
Simulation Study on the Mumbai Suburban Railway
(Page 1680)
Marcon
dos Santos, Gilberto (Oregon
State University)
Demonstration
Track ~ Scalable Multiple Robot Task Planning with Plan Merging
and Conflict Resolution
(Page 1776)
Marden,
Jason R. (University
of California, Santa Barbara)
Main
Track ~ Tractable Mechanisms for Computing Near-Optimal Utility
Functions (Page
306)
Marmolejo
Cossío, Francisco J. (University
of Oxford & IOHK)
Extended
Abstract ~ RPPLNS: Pay-per-last-N-shares with a Randomised Twist
(Page 1569)
Marquis,
Pierre (University
Artois, CNRS, IUF, UMR 8188, CRIL)
Main
Track ~ On a Notion of Monotonic Support for Bipolar Argumentation
Frameworks (Page
546)
Marsella,
Stacy (Northeastern
University)
Main
Track ~ A Computational Model of Coping for Simulating Human
Behavior in High-Stress Situations
(Page 1425)
Main
Track ~ CMCF: An Architecture for Realtime Gesture Generation
by Clustering Gestures by Motion and Communicative Function
(Page 1136)
|
|
Martín
Rico, Francisco (Rey
Juan Carlos University)
Extended
Abstract ~ Optimized Execution of PDDL Plans using Behavior Trees
(Page 1596)
Mascardi,
Viviana (Università
di Genova)
JAAMAS
Track ~ Logic-based Technologies for Multi-agent Systems: Summary
of a Systematic Literature Review
(Page 1721)
JAAMAS
Track ~ Summarising a Framework for the Certification of Reliable
Autonomous Systems
(Page 1733)
Masters,
Peta (The
University of Melbourne)
Main
Track ~ Deceptive Reinforcement Learning for Privacy-Preserving
Planning (Page
818)
Main
Track ~ Extended Goal Recognition: A Planning-Based Model for
Strategic Deception
(Page 871)
Mate,
Aditya (Harvard
University)
Main
Track ~ Risk-Aware Interventions in Public Health: Planning with
Restless Multi-Armed Bandits
(Page 880)
Matellán
Olivera, Vicente (University
of León)
Extended
Abstract ~ Optimized Execution of PDDL Plans using Behavior Trees
(Page 1596)
Mathias,
H. David (University
of Wisconsin-La Crosse)
Extended
Abstract ~ Comparison of Desynchronization Methods for a Decentralized
Swarm on a Logistical Resupply Problem
(Page 1510)
Maudet,
Nicolas (LIP6,
UMR 7606, Sorbonne Université)
Extended
Abstract ~ Rank Aggregation by Dissatisfaction Minimisation in
the Unavailable Candidate Model
(Page 1518)
Extended
Abstract ~ Sequential and Swap Mechanisms for Public Housing
Allocation with Quotas and Neighbourhood-Based Utilities
(Page 1521)
|
|
Mayer,
Simon (University
of St. Gallen)
Demonstration
Track ~ Autonomous Agents on the Edge of Things
(Page 1767)
Mayo,
Katherine (University
of Michigan)
Extended
Abstract ~ A Strategic Analysis of Portfolio Compression
(Page 1599)
Mazzi,
Giulio (Università
degli Studi di Verona)
Main
Track ~ Identification of Unexpected Decisions in Partially Observable
Monte-Carlo Planning: A Rule-Based Approach
(Page 889)
McCoy,
Joshua (University
of California, Davis)
Extended
Abstract ~ HOAD: The Hanabi Open Agent Dataset
(Page 1646)
McDonnell,
Rachel (Trinity
College Dublin)
Extended
Abstract ~ It's A Match! Gesture Generation Using Expressive
Parameter Matching
(Page 1495)
Medya,
Sourav (Northwestern
University)
Main
Track ~ Network Robustness via Global k-cores
(Page 438)
Mehrotra,
Siddharth (Delft
University of Technology)
Doctoral
Consortium ~ Modelling Trust in Human-AI Interaction
(Page 1826)
Meir,
Reshef (Technion
- Israel Institute of Technology)
Main
Track ~ Strategyproof Facility Location Mechanisms on Discrete
Trees (Page 510)
|
|
Melissourgos,
Themistoklis (Technical
University of Munich)
Main
Track ~ Walrasian Equilibria in Markets with Small Demands
(Page 413)
Melo,
Francisco S. (INESC-ID
& Universidade de Lisboa)
Main
Track ~ Cooperation between Independent Reinforcement Learners
under Wealth Inequality and Collective Risks
(Page 898)
Extended
Abstract ~ Teaching Unknown Learners to Classify via Feature
Importance (Page
1524)
Meneguzzi,
Felipe (Pontifical
Catholic University of Rio Grande do Sul)
Extended
Abstract ~ Combining LSTMs and Symbolic Approaches for Robust
Plan Recognition
(Page 1634)
Mengin,
Jérôme (IRIT-CNRS,
Université de Toulouse)
Main
Track ~ A Knowledge Compilation Map for Conditional Preference
Statements-based Languages
(Page 492)
Merhej,
Ramona (Universidade
de Lisboa & Sorbonne University)
Main
Track ~ Cooperation between Independent Reinforcement Learners
under Wealth Inequality and Collective Risks
(Page 898)
Mey,
Alexander (Delft
University of Technology)
Main
Track ~ Loss Bounds for Approximate Influence-Based Abstraction
(Page 377)
Blue
Sky Ideas Track ~ Environment Shift Games: Are Multiple Agents
the Solution, and not the Problem, to Non-Stationarity?
(Page 23)
Micalizio,
Roberto (Università
di Torino)
Main
Track ~ Robustness Based on Accountability in Multiagent Organizations
(Page 142)
Demonstration
Track ~ Distributing Responsibilities for Exception Handling
in JaCaMo (Page
1752)
Michalak,
Tomasz P. (University
of Warsaw)
Main
Track ~ Strategic Evasion of Centrality Measures
(Page 1389)
|
|
Miller,
Tim (The
University of Melbourne)
Main
Track ~ Deceptive Reinforcement Learning for Privacy-Preserving
Planning (Page
818)
Minami,
Kentaro (Preferred
Networks, Inc.)
Main
Track ~ Trader-Company Method: A Metaheuristics for Interpretable
Stock Price Prediction
(Page 656)
Minarsch,
David (Fetch.ai)
Main
Track ~ Peer-to-peer Autonomous Agent Communication Network
(Page 1037)
Minervini,
Pasquale (University
College London)
Main
Track ~ Grid-to-Graph: Flexible Spatial Relational Inductive
Biases for Reinforcement Learning
(Page 674)
Ming,
Zhong (Shenzhen
University)
Demonstration
Track ~ ATPT: Automate Typhoon Contingency Plan Generation from
Text (Page 1788)
Mirsky,
Reuth (The
University of Texas at Austin)
Blue
Sky Ideas Track ~ The Seeing-Eye Robot Grand Challenge: Rethinking
Automated Care
(Page 28)
Mittelmann,
Munyque (Université
de Toulouse - IRIT)
Extended
Abstract ~ A General Framework for the Logical Representation
of Combinatorial Exchange Protocols
(Page 1602)
|
|
Mocanu,
Decebal Constantin
(University
of Twente & Eindhoven University of Technology)
Blue
Sky Ideas Track ~ Sparse Training Theory for Scalable and Efficient
Agents (Page 34)
Extended
Abstract ~ Self-Attention Meta-Learner for Continual Learning
(Page 1658)
Mocanu,
Elena (University
of Twente)
Blue
Sky Ideas Track ~ Sparse Training Theory for Scalable and Efficient
Agents (Page 34)
Moell,
Birger (KTH
Royal Institute of Technology)
Demonstration
Track ~ A Framework for Integrating Gesture Generation Models
into Interactive Conversational Agents
(Page 1779)
Moens,
Vincent (Huawei
R&D UK)
Main
Track ~ Learning Correlated Communication Topology in Multi-Agent
Reinforcement learning
(Page 456)
Mohammad,
Yasser (NEC
Corporation)
Main
Track ~ An Autonomous Negotiating Agent Framework with Reinforcement
Learning based Strategies and Adaptive Strategy Switching Mechanism
(Page 1163)
Mohsin,
Hasan (Imperial
College London)
Demonstration
Track ~ Argflow: A Toolkit for Deep Argumentative Explanations
for Neural Networks
(Page 1761)
Montes,
Nieves (Artificial
Intelligence Research Institute (IIIA-CSIC))
Main
Track ~ Value-Guided Synthesis of Parametric Normative Systems
(Page 907)
|
|
Moraitis,
Pavlos (University
of Paris and Argument Theory)
Main
Track ~ Probabilistic Control Argumentation Frameworks
(Page 519)
Morales,
Peter (Microsoft)
Main
Track ~ Deep Implicit Coordination Graphs for Multi-agent Reinforcement
Learning (Page
764)
Main
Track ~ Scalable Anytime Planning for Multi-Agent MDPs
(Page 341)
Moravćík,
Matej (DeepMind)
Extended
Abstract ~ Sound Algorithms in Imperfect Information Games
(Page 1674)
Morelli,
Matteo (CEA
list)
Extended
Abstract ~ Optimized Execution of PDDL Plans using Behavior Trees
(Page 1596)
Mosca,
Francesca (King's
College London)
Main
Track ~ ELVIRA: An Explainable Agent for Value and Utility-Driven
Multiuser Privacy
(Page 916)
Mouter,
Niek (Delft
University of Technology)
Main
Track ~ Axies: Identifying and Evaluating Context-Specific Values
(Page 799)
Mudigere,
Dheevatsa (Facebook
Inc.)
Main
Track ~ SEERL: Sample Efficient Ensemble Reinforcement Learning
(Page 1100)
|
|
Muhammad,
Faizan (Tufts
University)
Main
Track ~ A Novelty-Centric Agent Architecture for Changing Worlds
(Page 925)
Mujumdar,
Anusha (Ericsson
Research)
Demonstration
Track ~ Symbolic Reinforcement Learning for Safe RAN Control
(Page 1782)
Mulderij,
Jesse (Delft
University of Technology)
Demonstration
Track ~ TORS: A Train Unit Shunting and Servicing Simulator
(Page 1785)
Murugappan,
Karpagam (TCS
Research)
Main
Track ~ To hold or not to hold? - Reducing Passenger Missed
Connections in Airlines using Reinforcement Learning
(Page 862)
Murukannaiah,
Pradeep K. (Delft
University of Technology)
Main
Track ~ Axies: Identifying and Evaluating Context-Specific Values
(Page 799)
Demonstration
Track ~ A Collaborative Platform for Identifying Context-Specific
Values (Page 1773)
Musolesi,
Mirco (University
College London & University of Bologna)
Main
Track ~ Cooperation and Reputation Dynamics with Reinforcement
Learning (Page
115)
|
|
|