|
|
Author
Index
|
|
Nagpal,
Radhika (Harvard
University)
Extended
Abstract ~ Influencing Emergent Self-Assembled Structures in
Robotic Collectives Through Traffic Control
(Page 1601)
Nagy,
Rajmund (KTH
Royal Institute of Technology)
Main
Track Full Paper ~ Multimodal Analysis of the Predictability
of Hand-gesture Properties
(Page 770)
Nair,
Vineet (Technion
Israel Institute of Technology)
Main
Track Full Paper ~ Long-Term Resource Allocation Fairness in
Average Markov Decision Process (AMDP) Environment
(Page 525)
Nakadai,
Shinji (NEC
Corporation & National Institute of Advanced Industrial Science and
Technology)
JAAMAS
Track ~ Concurrent Negotiations with Global Utility Functions
(Page 1947)
Nanda,
Vedant (University
of Maryland, College Park)
Extended
Abstract ~ Rawlsian Fairness in Online Bipartite Matching: Two-sided,
Group, and Individual
(Page 1583)
|
|
Narahari,
Yadati (Indian
Institute of Science)
Extended
Abstract ~ On Achieving Leximin Fairness and Stability in Many-to-One
Matchings (Page
1705)
Narang,
Shivika (Indian
Institute of Science)
Extended
Abstract ~ On Achieving Leximin Fairness and Stability in Many-to-One
Matchings (Page
1705)
Nardi,
Oliviero (University
of Amsterdam)
Main
Track Full Paper ~ A Graph-Based Algorithm for the Automated
Justification of Collective Decisions
(Page 935)
Nasre,
Meghana (Indian
Institute of Technology Madras)
Main
Track Full Paper ~ Optimal Matchings with One-Sided Preferences:
Fixed and Cost-Based Quotas
(Page 696)
Nau,
Dana (University
of Maryland)
Main
Track Full Paper ~ A Mean Field Game Model of Spatial Evolutionary
Games (Page 606)
Neary,
Cyrus (The
University of Texas at Austin)
Main
Track Full Paper ~ Planning Not to Talk: Multiagent Systems that
are Robust to Communication Loss
(Page 705)
Neff,
Michael (University
of California, Davis)
Main
Track Full Paper ~ Multimodal Analysis of the Predictability
of Hand-gesture Properties
(Page 770)
|
|
Neubauer,
Catherine E. (CCDC
Army Research Lab)
Main
Track Full Paper ~ Factorial Agent Markov Model: Modeling Other
Agents' Behavior in presence of Dynamic Latent Decision Factors
(Page 982)
Neustroev,
Grigory (Delft
University of Technology)
Main
Track Full Paper ~ Deep Reinforcement Learning for Active Wake
Control (Page
944)
Neves,
José (University
of Minho)
Demonstration
Track ~ KnowLedger - A Multi-Agent System Blockchain for Smart
Cities Data (Page
1896)
Ng,
Jun Hao Alvin (Heriot-Watt
University & The University of Edinburgh)
Main
Track Full Paper ~ Planning, Execution, and Adaptation for Multi-Robot
Systems using Probabilistic and Temporal Planning
(Page 217)
Nguyen,
Dung (Deakin
University)
Main
Track Full Paper ~ Learning Theory of Mind via Dynamic Traits
Attribution (Page
954)
Main
Track Full Paper ~ Learning to Transfer Role Assignment Across
Team Sizes (Page
963)
Nguyen,
Hai (Northeastern
University)
Main
Track Full Paper ~ BADDr: Bayes-Adaptive Deep Dropout RL for
POMDPs (Page 723)
Nguyen,
Phuoc (Deakin
University)
Main
Track Full Paper ~ Learning Theory of Mind via Dynamic Traits
Attribution (Page
954)
Main
Track Full Paper ~ Learning to Transfer Role Assignment Across
Team Sizes (Page
963)
|
|
Niedermeier,
Rolf (TU
Berlin)
Main
Track Full Paper ~ Equilibria in Schelling Games: Computational
Hardness and Robustness
(Page 761)
Extended
Abstract ~ A Refined Complexity Analysis of Fair Districting
over Graphs (Page
1548)
Nishimura,
Mai (OMRON
SINIC X)
Main
Track Full Paper ~ CTRMs: Learning to Construct Cooperative Timed
Roadmaps for Multi-agent Path Planning in Continuous Spaces
(Page 972)
Nisioti,
Eleni (Inria
& Université de Bordeaux)
Main
Track Full Paper ~ Socially Supervised Representation Learning:
The Role of Subjectivity in Learning Efficient Representations
(Page 1274)
Niveau,
Alexandre (Normandie
University, UNICAEN, ENSICAEN, CNRS, GREYC)
Main
Track Full Paper ~ A Symbolic Representation for Probabilistic
Dynamic Epistemic Logic
(Page 445)
Norman,
Timothy J. (University
of Southampton)
Extended
Abstract ~ How to Train Your Agent: Active Learning from Human
Preferences and Justifications in Safety-critical Environments
(Page 1654)
Novais,
Paulo (University
of Minho)
Demonstration
Track ~ A Multi-Agent System for Automated Machine Learning
(Page 1899)
Nowé,
Ann (Vrije
Universiteit Brussel)
Main
Track Full Paper ~ Pareto Conditioned Networks
(Page 1110)
Extended
Abstract ~ Local Advantage Networks for Cooperative Multi-Agent
Reinforcement Learning
(Page 1524)
|
|
Obermeier,
Philipp (University
of Potsdam)
Main
Track Full Paper ~ Reduction-based Solving of Multi-agent Pathfinding
on Large Maps Using Graph Pruning
(Page 624)
Obraztsova,
Svetlana (Nanyang
Technological University)
Main
Track Full Paper ~ Mis-spoke or mis-lead: Achieving Robustness
in Multi-Agent Communicative Reinforcement Learning
(Page 1418)
JAAMAS
Track ~ Reaching Consensus Under a Deadline
(Page 1920)
Okumura,
Keisuke (Tokyo
Institute of Technology)
Main
Track Full Paper ~ CTRMs: Learning to Construct Cooperative Timed
Roadmaps for Multi-agent Path Planning in Continuous Spaces
(Page 972)
Oliehoek,
Frans A. (Delft
University of Technology)
Main
Track Full Paper ~ BADDr: Bayes-Adaptive Deep Dropout RL for
POMDPs (Page 723)
Main
Track Full Paper ~ Best-Response Bayesian Reinforcement Learning
with Bayes-adaptive POMDPs for Centaurs
(Page 235)
Main
Track Full Paper ~ MORAL: Aligning AI with Human Norms through
Multi-Objective Reinforced Active Learning
(Page 1038)
Extended
Abstract ~ Speeding up Deep Reinforcement Learning through Influence-Augmented
Local Simulators
(Page 1735)
Ono,
Hirotaka (Nagoya
University)
Extended
Abstract ~ Capacitated Network Design Games on a Generalized
Fair Allocation Model
(Page 1616)
Orlov-Savko,
Liubove (Rice
University)
Main
Track Full Paper ~ Factorial Agent Markov Model: Modeling Other
Agents' Behavior in presence of Dynamic Latent Decision Factors
(Page 982)
Oshrat,
Yaniv (Bar
Ilan University)
Extended
Abstract ~ Advising Agent for Service-Providing Live-Chat Operators
(Page 1527)
|
|
Osiński,
Błażej (University
of Warsaw)
Extended
Abstract ~ Off-Policy Correction For Multi-Agent Reinforcement
Learning (Page
1774)
Osipov,
George (Linköping
University)
Extended
Abstract ~ Concise Representations and Complexity of Combinatorial
Assignment Problems
(Page 1714)
Osman,
Nardine (Artificial
Intelligence Research Institute (IIIA-CSIC))
Main
Track Full Paper ~ Ensemble and Incremental Learning for Norm
Violation Detection
(Page 427)
Ou,
Han-Ching (Harvard
University)
Main
Track Full Paper ~ Networked Restless Multi-Armed Bandits for
Mobile Interventions
(Page 1001)
Paccagnan,
Dario (Imperial
College London)
Main
Track Full Paper ~ The Competition and Inefficiency in Urban
Road Last-Mile Delivery
(Page 1473)
Padir,
Taskin (Northeastern
University)
Main
Track Full Paper ~ Tactile Pose Estimation and Policy Learning
for Unknown Object Manipulation
(Page 742)
Paiva,
Ana (INESC-ID
& Universidade de Lisboa)
Main
Track Full Paper ~ How to Sense the World: Leveraging
Hierarchy in Multimodal Perception for Robust Reinforcement Learning
Agents (Page 1301)
|
|
Paleja,
Rohan (Georgia
Institute of Technology)
Main
Track Full Paper ~ Learning Efficient Diverse Communication for
Cooperative Heterogeneous Teaming
(Page 1173)
Palko,
Kyle (U.S.
Air Force Artificial Intelligence Accelerator)
Extended
Abstract ~ Autonomous Flight Arcade Challenge: Single- and Multi-Agent
Learning Environments for Aerial Vehicles
(Page 1744)
Palmero
Aprosio, Alessio (Fondazione
Bruno Kessler (FBK))
Extended
Abstract ~ capacitated Network Design Games on a Generalized
Fair Allocation Model
(Page 1598)
Pan,
Xinlei (University
of California, Berkeley)
Main
Track Full Paper ~ Characterizing Attacks on Deep Reinforcement
Learning (Page
1010)
Pan,
Yinghui (Shenzhen
University)
Demonstration
Track ~ Ev-IDID: Enhancing Solutions to Interactive Dynamic Influence
Diagrams through Evolutionary Algorithms
(Page 1911)
Demonstration
Track ~ LBfT: Learning Bayesian Network Structures from
Text in Autonomous Typhoon Response Systems
(Page 1914)
Pandžić,
Stipe (Utrecht
University)
Main
Track Full Paper ~ BOID*: Autonomous Goal Deliberation through
Abduction (Page
1019)
Panisson,
Alison R. (Universidade
Federal de Santa Catarina)
Extended
Abstract ~ Towards an Enthymeme-Based Communication Framework
(Page 1708)
|
|
Paoletti,
Nicola (Royal
Holloway, University of London)
Extended
Abstract ~ Deep Learnable Strategy Templates for Multi-Issue
Bilateral Negotiation
(Page 1533)
Papageorgiou,
Markos (Technical
University of Crete)
Extended
Abstract ~ Max-sum with Quadtrees for Continuous DCOPs with Application
to Lane-Free Autonomous Driving
(Page 1741)
Parajuli,
Samyak (University
of California, Berkeley)
Extended
Abstract ~ Learning Generalizable Multi-Lane Mixed-Autonomy Behaviors
in Single Lane Representations of Traffic
(Page 1663)
Park,
Jinkyoo (Korea
Advanced Institute of Science and Technology)
Main
Track Full Paper ~ REMAX: Relational Representation for Multi-Agent
Exploration (Page
1137)
Parker-Holder,
Jack (University
of Oxford)
Main
Track Full Paper ~ Lyapunov Exponents for Diversity in Differentiable
Games (Page 842)
Extended
Abstract ~ On-the-fly Strategy Adaptation for ad-hoc Agent Coordination
(Page 1771)
Paruchuri,
Praveen (International
Institute of Information Technology, Hyderabad)
Extended
Abstract ~ Moving Target Defense under Uncertainty for Web Applications
(Page 1750)
Extended
Abstract ~ Multi-unit Double Auctions: Equilibrium Analysis and
Bidding Strategy using DDPG in Smart-grids
(Page 1569)
|
|
Patel,
Anirudh (Sandia
National Laboratory)
Main
Track Full Paper ~ Learning Efficient Diverse Communication for
Cooperative Heterogeneous Teaming
(Page 1173)
Patil,
Vishakha (Indian
Institute of Science)
Main
Track Full Paper ~ Long-Term Resource Allocation Fairness in
Average Markov Decision Process (AMDP) Environment
(Page 525)
Paulusma,
Daniël (Durham
University)
Main
Track Full Paper ~ Computing Balanced Solutions for Large International
Kidney Exchange Schemes
(Page 82)
Pavlou,
Chrystalla (TurinTech
AI)
Main
Track Full Paper ~ Efficient Approximation Algorithms for the
Inverse Semivalue Problem
(Page 354)
Pavone,
Marco (Stanford
University)
Main
Track Full Paper ~ Balancing Fairness and Efficiency in Traffic
Routing via Interpolated Traffic Assignment
(Page 678)
Main
Track Full Paper ~ Coordinated Multi-Agent Pathfinding for Drones
and Trucks over Road Networks
(Page 272)
Payan,
Justin (University
of Massachusetts, Amherst)
Extended
Abstract ~ I Will Have Order! Optimizing Orders for Fair Reviewer
Assignment (Page
1711)
Payan,
Justin (University
of Massachusetts, Amherst)
Doctoral
Consortium ~ Fair Allocation Problems in Reviewer Assignment
(Page 1857)
|
|
Pazzaglia,
Jean-Christophe (SAP)
Extended
Abstract ~ capacitated Network Design Games on a Generalized
Fair Allocation Model
(Page 1598)
Peebles,
John (Princeton
University)
Main
Track Full Paper ~ Efficient Approximation Algorithms for the
Inverse Semivalue Problem
(Page 354)
Pelachaud,
Catherine
Front
Matter ~ AAMAS'22 Chairs Welcome
Peng,
Jian (University
of Illinois at Urbana-Champaign)
Main
Track Full Paper ~ Characterizing Attacks on Deep Reinforcement
Learning (Page
1010)
Pereira
Junior, Jair (University
of Tsukuba)
Main
Track Full Paper ~ Using Agent-Based Simulator to Assess Interventions
Against COVID-19 in a Small Community Generated from Map Data
(Page 1)
Perez,
Mateo (University
of Colorado Boulder)
Main
Track Full Paper ~ Translating Omega-Regular Specifications to
Average Objectives for Model-Free Reinforcement Learning
(Page 732)
|
|
Perolat,
Julien (Deepmind)
Main
Track Full Paper ~ Learning Equilibria in Mean-Field Games: Introducing
Mean-Field PSRO
(Page 926)
Extended
Abstract ~ Solving N-Player Dynamic Routing Games with Congestion:
A Mean-Field Approach
(Page 1557)
Main
Track Full Paper ~ Concave Utility Reinforcement Learning: The
Mean-field Game Viewpoint
(Page 489)
Main
Track Full Paper ~ Scaling Mean Field Games by Online Mirror
Descent (Page
1028)
Perrin,
Sarah (Univ.
Lille, CNRS, Inria, Centrale Lille)
Main
Track Full Paper ~ Concave Utility Reinforcement Learning: The
Mean-field Game Viewpoint
(Page 489)
Main
Track Full Paper ~ Scaling Mean Field Games by Online Mirror
Descent (Page
1028)
Extended
Abstract ~ Solving N-Player Dynamic Routing Games with Congestion:
A Mean-Field Approach
(Page 1557)
Perrussel,
Laurent (Université
de Toulouse - IRIT)
Main
Track Full Paper ~ Reasoning about Human-Friendly Strategies
in Repeated Keyword Auctions
(Page 62)
Peschl,
Markus (Delft
University of Technology)
Main
Track Full Paper ~ MORAL: Aligning AI with Human Norms through
Multi-Objective Reinforced Active Learning
(Page 1038)
Peters,
Dominik (University
of Toronto)
Main
Track Full Paper ~ How to Fairly Allocate Easy and Difficult
Chores (Page 372)
Peters,
Jannik (TU
Berlin)
Main
Track Full Paper ~ Pareto Optimal and Popular House Allocation
with Lower and Upper Quotas
(Page 300)
Main
Track Full Paper ~ Three-Dimensional Popular Matching with Cyclic
Preferences (Page
309)
Petillot,
Yvan (Heriot-Watt
University & The University of Edinburgh)
Main
Track Full Paper ~ Planning, Execution, and Adaptation for Multi-Robot
Systems using Probabilistic and Temporal Planning
(Page 217)
|
|
Petraki,
Eleni (University
of Canberra)
Main
Track Full Paper ~ Autonomous Swarm Shepherding Using Curriculum-Based
Reinforcement Learning
(Page 633)
Petrick,
Ron (Heriot-Watt
University & The University of Edinburgh)
Main
Track Full Paper ~ Planning, Execution, and Adaptation for Multi-Robot
Systems using Probabilistic and Temporal Planning
(Page 217)
Phan,
Thomy (LMU
Munich)
Main
Track Full Paper ~ Emergent Cooperation from Mutual Acknowledgment
Exchange (Page
1047)
Blue
Sky Ideas Track ~ Towards Anomaly Detection in Reinforcement
Learning (Page
1799)
Picard,
Gauthier (ONERA/DTIS,
Université de Toulouse)
Main
Track Full Paper ~ Auction-based and Distributed Optimization
Approaches for Scheduling Observations in Satellite Constellations with
Exclusive Orbit Portions
(Page 1056)
Main
Track Full Paper ~ Trajectory Coordination based on Distributed
Constraint Optimization Techniques in Unmanned Air Traffic Management
(Page 1065)
Pietquin,
Olivier (Google)
Main
Track Full Paper ~ Concave Utility Reinforcement Learning: The
Mean-field Game Viewpoint
(Page 489)
Main
Track Full Paper ~ Lazy-MDPs: Towards Interpretable RL by Learning
When to Act (Page
669)
Main
Track Full Paper ~ Learning Equilibria in Mean-Field Games: Introducing
Mean-Field PSRO
(Page 926)
Main
Track Full Paper ~ Scaling Mean Field Games by Online Mirror
Descent (Page
1028)
Extended
Abstract ~ Solving N-Player Dynamic Routing Games with Congestion:
A Mean-Field Approach
(Page 1557)
Piliouras,
Georgios (Singapore
University of Technology and Design)
Main
Track Full Paper ~ Learning Equilibria in Mean-Field Games: Introducing
Mean-Field PSRO
(Page 926)
Main
Track Full Paper ~ Poincaré-Bendixson Limit Sets in Multi-Agent
Learning (Page
318)
Main
Track Full Paper ~ Scaling Mean Field Games by Online Mirror
Descent (Page
1028)
Pinciroli,
Carlo (Worcester
Polytechnic Institute)
Main
Track Full Paper ~ Hacking the Colony: On the Disruptive Effect
of Misleading Pheromone and How to Defend against It
(Page 27)
|
|
Pini,
Maria Silvia (University
of Padova)
JAAMAS
Track ~ Voting with Random Classifiers (VORACE): Theoretical
and Experimental Analysis
(Page 1929)
Piranda,
Benoît (University
of Bourgogne Franche-Comté)
Extended
Abstract ~ A New Porous Structure for Modular Robots
(Page 1539)
Piterman,
Nir (University
of Gothenburg)
Extended
Abstract ~ R-CHECK: A Model Checker for Verifying Reconfigurable
MAS (Page 1518)
Pitimanaaree,
Paween (SCB
Securities Co. Ltd.)
Main
Track Full Paper ~ Anti-Malware Sandbox Games
(Page 1201)
Platt,
Robert (Northeastern
University)
Main
Track Full Paper ~ Tactile Pose Estimation and Policy Learning
for Unknown Object Manipulation
(Page 742)
Polukarov,
Maria (King's
College London)
Main
Track Full Paper ~ The Spoofing Resistance of Frequent Call Markets
(Page 825)
Poovendran,
Radha (University
of Washington)
Main
Track Full Paper ~ Agent-Temporal Attention for Reward Redistribution
in Episodic Multi-Agent Reinforcement Learning
(Page 1391)
|
|
Pop,
Alexandru (University
of Southampton)
Demonstration
Track ~ An Agent-Based Simulator for Maritime Transport Decarbonisation
(Page 1890)
Porteous,
Julie (RMIT
University)
Extended
Abstract ~ Automated Story Sifting Using Story Arcs
(Page 1669)
Prada,
Rui (INESC-ID
& Universidade de Lisboa)
Extended
Abstract ~ Behavior vs Appearance: What Type of Adaptations are
More Socially Motivated?
(Page 1720)
Präntare,
Fredrik (Linköping
University)
Main
Track Full Paper ~ Learning Heuristics for Combinatorial Assignment
by Optimally Solving Subproblems
(Page 1074)
Extended
Abstract ~ Concise Representations and Complexity of Combinatorial
Assignment Problems
(Page 1714)
Prasanna,
Viktor (University
of Southern California)
Extended
Abstract ~ Intelligent Communication over Realistic Wireless
Networks in Multi-Agent Cooperative Games
(Page 1627)
Prigent,
Elise (CNRS-LISN,
Université Paris-Saclay)
Main
Track Full Paper ~ COPALZ: A Computational Model of Pathological
Appraisal Biases for an Interactive Virtual Alzheimer Patient
(Page 72)
Prorok,
Amanda (University
of Cambridge)
Blue
Sky Ideas Track ~ The Holy Grail of Multi-Robot Planning: Learning
to Generate Online-Scalable Solutions from Offline-Optimal Experts
(Page 1804)
|
|
Psomas,
Alexandros (Perdue
University)
Main
Track Full Paper ~ Beyond Cake Cutting: Allocating Homogeneous
Divisible Goods
(Page 208)
Pun,
Matthew (Shell
Shipping & Maritime)
Demonstration
Track ~ An Agent-Based Simulator for Maritime Transport Decarbonisation
(Page 1890)
Puri,
Nikaash (Adobe)
Extended
Abstract ~ Status-quo Policy Gradient in Multi-Agent Reinforcement
Learning (Page
1530)
Qian,
Peizhu (Rice
University)
Main
Track Full Paper ~ Evaluating the Role of Interactivity on Improving
Transparency in Autonomous Agents
(Page 1083)
Qiu,
Wei (Nanyang
Technological University)
Main
Track Full Paper ~ Mis-spoke or mis-lead: Achieving Robustness
in Multi-Agent Communicative Reinforcement Learning
(Page 1418)
Qu,
Xinghua (ByteDance
AI Lab)
Main
Track Full Paper ~ Spiking Pitch Black: Poisoning an Unknown
Environment to Attack Unknown Reinforcement Learners
(Page 1409)
Rabinovich,
Zinovi (Nanyang
Technological University)
Main
Track Full Paper ~ Mis-spoke or mis-lead: Achieving Robustness
in Multi-Agent Communicative Reinforcement Learning
(Page 1418)
Main
Track Full Paper ~ Spiking Pitch Black: Poisoning an Unknown
Environment to Attack Unknown Reinforcement Learners
(Page 1409)
JAAMAS
Track ~ Reaching Consensus Under a Deadline
(Page 1920)
|
|
Raddaoui,
Badran (Télécom
SudParis & Institut Polytechnique de Paris)
Main
Track Full Paper ~ A Declarative Framework for Maximal k-plex
Enumeration Problems
(Page 660)
Rago,
Antonio (Imperial
College London)
Extended
Abstract ~ Argumentative Forecasting
(Page 1636)
Ramamoorthy,
Subramanian (The
University of Edinburgh)
Main
Track Full Paper ~ Robust Learning from Observation with Model
Misspecification
(Page 1337)
Ramanujan,
M. S. (University
of Warwick)
Main
Track Full Paper ~ Equilibrium Computation For Knockout Tournaments
Played By Groups
(Page 807)
Ramasubramanian,
Bhaskar (Western
Washington University)
Main
Track Full Paper ~ Agent-Temporal Attention for Reward Redistribution
in Episodic Multi-Agent Reinforcement Learning
(Page 1391)
Ramchurn,
Sarvapali D. (University
of Southampton)
Demonstration
Track ~ An Agent-Based Simulator for Maritime Transport Decarbonisation
(Page 1890)
Ramírez
Abarca, Aldo Iván (Utrecht
University)
Extended
Abstract ~ A Stit Logic of Responsibility
(Page 1717)
|
|
Ran,
Dezhi (Peking
University)
Main
Track Full Paper ~ Revenue and User Traffic Maximization in Mobile
Short-Video Advertising
(Page 1092)
Rana,
Santu (Deakin
University)
Main
Track Full Paper ~ Sympathy-based Reinforcement Learning Agents
(Page 1164)
Rapion,
Éloan (ENS
Rennes)
Main
Track Full Paper ~ Logical Theories of Collective Attitudes and
the Belief Base Perspective
(Page 833)
Rato,
Diogo (INESC-ID
& Universidade de Lisboa)
Extended
Abstract ~ Behavior vs Appearance: What Type of Adaptations are
More Socially Motivated?
(Page 1720)
Rau,
Malin (Universität
Hamburg)
Main
Track Full Paper ~ Asynchronous Opinion Dynamics in Social Networks
(Page 109)
Ravenet,
Brian (CNRS-LISN,
Université Paris-Saclay)
Main
Track Full Paper ~ COPALZ: A Computational Model of Pathological
Appraisal Biases for an Interactive Virtual Alzheimer Patient
(Page 72)
Ravi,
S. S. (University
of Virginia & University of Albany - SUNY)
Extended
Abstract ~ Maximizing Resource Allocation Likelihood with Minimum
Compromise (Page
1738)
|
|
Ravichandar,
Harish (Georgia
Institute of Technology)
Extended
Abstract ~ Resource-Aware Adaptation of Heterogeneous Strategies
for Coalition Formation
(Page 1732)
Rea,
Tommaso (Politecnico
di Milano)
Main
Track Full Paper ~ Coalition Formation Games and Social Ranking
Solutions (Page
862)
Řehák,
Vojtěch (Masaryk
University)
Extended
Abstract ~ Minimizing Expected Intrusion Detection Time in Adversarial
Patrolling (Page
1660)
Ren,
Jingyao (University
of Southern California)
Main
Track Full Paper ~ Betweenness Centrality in Multi-Agent Path
Finding (Page
400)
Renting,
Bram M. (Leiden
University & Delft University of Technology)
Main
Track Full Paper ~ Automated Configuration and Usage of Strategy
Portfolios Mixed-Motive Bargaining
(Page 1101)
Rey,
Simon (University
of Amsterdam)
Doctoral
Consortium ~ Designing Mechanisms for Participatory Budgeting
(Page 1860)
Reymond,
Mathieu (Vrije
Universiteit Brussel)
Main
Track Full Paper ~ Pareto Conditioned Networks
(Page 1110)
Extended
Abstract ~ Local Advantage Networks for Cooperative Multi-Agent
Reinforcement Learning
(Page 1524)
Extended
Abstract ~ Near On-Policy Experience Sampling in Multi-Objective
Reinforcement Learning
(Page 1756)
|
|
Ricci,
Alessandro (Università
di Bologna)
Blue
Sky Ideas Track ~ "Go to the Children": Rethinking Intelligent
Agent Design and Programming in a Developmental Learning Perspective
(Page 1809)
Richards,
Deborah (Macquarie
University)
Extended
Abstract ~ The Ethical Acceptability of Artificial Social Agents
(Page 1753)
Ritz,
Fabian (LMU
Munich)
Main
Track Full Paper ~ Emergent Cooperation from Mutual Acknowledgment
Exchange (Page
1047)
Roberts,
Stephen J. (University
of Oxford)
Extended
Abstract ~ On-the-fly Strategy Adaptation for ad-hoc Agent Coordination
(Page 1771)
Rodriguez,
Sebastian (RMIT
University)
Main
Track Full Paper ~ Testing Requirements via User and System Stories
in Agent Systems
(Page 1119)
Rodriguez
Aguilar, Juan A. (Artificial
Intelligence Research Institute (IIIA-CSIC))
Main
Track Full Paper ~ Building Contrastive Explanations for Multi-Agent
Team Formation
(Page 516)
Main
Track Full Paper ~ Towards Pluralistic Value Alignment: Aggregating
Value Systems Through lp-Regression
(Page 780)
Blue
Sky Ideas Track ~ Agent-Assisted Life-Long Education and Learning
(Page 1819)
Extended
Abstract ~ capacitated Network Design Games on a Generalized
Fair Allocation Model
(Page 1598)
Roijers,
Diederik M. (Vrije
Universiteit Brussel & & HU University of Applied Science Utrecht)
Extended
Abstract ~ Decision-Theoretic Planning for the Expected Scalarised
Returns (Page
1621)
Extended
Abstract ~ Local Advantage Networks for Cooperative Multi-Agent
Reinforcement Learning
(Page 1524)
Extended
Abstract ~ Near On-Policy Experience Sampling in Multi-Objective
Reinforcement Learning
(Page 1756)
|
|
Romen,
René (Technical
University of Munich)
Main
Track Full Paper ~ Relaxed Notions of Condorcet-Consistency and
Efficiency for Strategyproof Social Decision Schemes
(Page 181)
Rosenschein,
Jeffrey S. (The
Hebrew University of Jerusalem)
JAAMAS
Track ~ Reaching Consensus Under a Deadline
(Page 1920)
Rossi,
Francesca (IBM
Research)
JAAMAS
Track ~ Voting with Random Classifiers (VORACE): Theoretical
and Experimental Analysis
(Page 1929)
Rothe,
Jörg (Heinrich-Heine-Universität
Düsseldorf)
Extended
Abstract ~ Popularity and Strict Popularity in Altruistic Hedonic
Games and Minimum-Based Altruistic Hedonic Games
(Page 1657)
Extended
Abstract ~ Voting for Centrality
(Page 1554)
Rowland,
Mark (Deepmind)
Main
Track Full Paper ~ Learning Equilibria in Mean-Field Games: Introducing
Mean-Field PSRO
(Page 926)
Ruan,
Ji (Auckland
University of Technology)
Extended
Abstract ~ A Graph Neural Network Reasoner for Game Description
Language (Page
1607)
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|
Ruan,
Jingqing (Institute
of Automation, Chinese Academy of Sciences & University of Chinese Academy
of Sciences)
Main
Track Full Paper ~ GCS: Graph-Based Coordination Strategy for
Multi-Agent Reinforcement Learning
(Page 1128)
Ruan,
Sikai (Rensselaer
Polytechnic Institute)
Main
Track Full Paper ~ Anti-Malware Sandbox Games
(Page 1201)
Rus,
Daniela (Massachusetts
Institute of Technology)
Extended
Abstract ~ Autonomous Flight Arcade Challenge: Single- and Multi-Agent
Learning Environments for Aerial Vehicles
(Page 1744)
Ryu,
Heechang (Samsung
Research)
Main
Track Full Paper ~ REMAX: Relational Representation for Multi-Agent
Exploration (Page
1137)
Sabbadin,
Régis (Université
de Toulouse, INRAE-MIAT)
Main
Track Full Paper ~ A Path-following Polynomial Equations Systems
Approach for Computing Nash Equilibria
(Page 418)
Sadiki,
Abdeladim (Concordia
University)
Main
Track Full Paper ~ Quantitative Group Trust: A Two-Stage Verification
Approach (Page
100)
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|
Sais,
Lakhdar (CRIL
CNRS - Université d'Artois)
Main
Track Full Paper ~ A Declarative Framework for Maximal k-plex
Enumeration Problems
(Page 660)
Sakaji,
Hiroki (The
University of Tokyo)
Extended
Abstract ~ Implementation of Actual Data for Artificial Market
Simulation (Page
1624)
Sakurai,
Tetsuya (University
of Tsukuba)
Main
Track Full Paper ~ Using Agent-Based Simulator to Assess Interventions
Against COVID-19 in a Small Community Generated from Map Data
(Page 1)
Salisbury,
Elliot (University
of Southampton)
Demonstration
Track ~ An Agent-Based Simulator for Maritime Transport Decarbonisation
(Page 1890)
Samoladas,
Vasilis (Technical
University of Crete)
Extended
Abstract ~ Max-sum with Quadtrees for Continuous DCOPs with Application
to Lane-Free Autonomous Driving
(Page 1741)
Sankar,
Govind S. (Duke
University)
Main
Track Full Paper ~ Optimal Matchings with One-Sided Preferences:
Fixed and Cost-Based Quotas
(Page 696)
Santos,
Fernando P. (University
of Amsterdam)
Main
Track Full Paper ~ Cooperation and Learning Dynamics under Risk
Diversity and Financial Incentives
(Page 908)
Extended
Abstract ~ Can Algorithms be Explained Without Compromising Efficiency?
The Benefits of Detection and Imitation in Strategic Classification
(Page 1536)
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|
Santos,
Francisco C. (INESC-ID
and Instituto Superior Tecnico, Universidade de Lisboa)
Main
Track Full Paper ~ Cooperation and Learning Dynamics under Risk
Diversity and Financial Incentives
(Page 908)
Saraf,
Aditya (University
of Washington)
Extended
Abstract ~ Optimal Local Bayesian Differential Privacy over Markov
Chains (Page 1563)
Sarkar,
Mausoom (Adobe)
Extended
Abstract ~ Status-quo Policy Gradient in Multi-Agent Reinforcement
Learning (Page
1530)
Sarne,
David (Bar-Ilan
University)
Main
Track Full Paper ~ Justifying Social-Choice Mechanism Outcome
for Improving Participant Satisfaction
(Page 1246)
Sartoretti,
Guillaume (National
University of Singapore)
Main
Track Full Paper ~ FCMNet: Full Communication Memory Net for
Team-Level Cooperation in Multi-Agent Systems
(Page 1355)
Sathiyanarayanan,
Vikraman (University
of Southern California)
Main
Track Full Paper ~ Betweenness Centrality in Multi-Agent Path
Finding (Page
400)
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|
Savani,
Rahul (University
of Liverpool)
Main
Track Full Paper ~ Sample-based Approximation of Nash in Large
Many-Player Games via Gradient Descent
(Page 507)
Schäfer,
Guido (Centrum
Wiskunde, Informatica ILLC, & University of Amsterdam)
Main
Track Full Paper ~ Corruption in Auctions: Social Welfare Loss
in Hybrid Multi-Unit Auctions
(Page 1283)
Schäfer,
Lukas (University
of Edinburgh)
Main
Track Full Paper ~ Decoupled Reinforcement Learning to Stabilise
Intrinsically-Motivated Exploration
(Page 1146)
Doctoral
Consortium ~ Task Generalisation in Multi-Agent Reinforcement
Learning (Page
1863)
Schaub,
Torsten (Potassco
Solutions & University of Potsdam)
Main
Track Full Paper ~ Reduction-based Solving of Multi-agent Pathfinding
on Large Maps Using Graph Pruning
(Page 624)
Schmand,
Daniel (Universität
Bremen)
Main
Track Full Paper ~ Asynchronous Opinion Dynamics in Social Networks
(Page 109)
Schmidt-Kraepelin,
Ulrike (TU
Berlin)
Main
Track Full Paper ~ Proportional Representation in Matching Markets:
Selecting Multiple Matchings under Dichotomous Preferences
(Page 136)
Schmidtner,
Stefanie (Technische
Hochschule Ingolstadt)
Extended
Abstract ~ Reinforcement Learning for Traffic Signal Control
Optimization: A Concept for Real-World Implementation
(Page 1699)
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|
Schoenebeck,
Grant (University
of Michigan)
Extended
Abstract ~ Optimal Local Bayesian Differential Privacy over Markov
Chains (Page 1563)
Schoepflin,
Daniel (Drexel
University)
Main
Track Full Paper ~ Beyond Cake Cutting: Allocating Homogeneous
Divisible Goods
(Page 208)
Schorlemmer,
Marco (Artificial
Intelligence Research Institute (IIIA-CSIC))
Main
Track Full Paper ~ Ensemble and Incremental Learning for Norm
Violation Detection
(Page 427)
Schultheis,
Holger (University
of Bremen)
Main
Track Full Paper ~ Empirical Estimates on Hand Manipulation are
Recoverable: A Step Towards Individualized and Explainable Robotic Support
in Everyday Activities
(Page 1382)
Schumann,
Candice (University
of Maryland)
Main
Track Full Paper ~ Group Fairness in Bandits with Biased Feedback
(Page 1155)
Searns,
Andrew (Johns
Hopkins University)
Main
Track Full Paper ~ Ordinal Maximin Share Approximation for Chores
(Page 597)
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|
Segal-Halevi,
Erel (Ariel
University)
Main
Track Full Paper ~ Ordinal Maximin Share Approximation for Chores
(Page 597)
Selman,
Bart (Cornell
University)
Main
Track Full Paper ~ Multi-Agent Curricula and Emergent Implicit
Signaling (Page
553)
Senadeera,
Manisha (Deakin
University)
Main
Track Full Paper ~ Sympathy-based Reinforcement Learning Agents
(Page 1164)
Doctoral
Consortium ~ Empathetic Reinforcement Learning Agents
(Page 1866)
Seraj,
Esmaeil (Georgia
Institute of Technology)
Main
Track Full Paper ~ Learning Efficient Diverse Communication for
Cooperative Heterogeneous Teaming
(Page 1173)
Doctoral
Consortium ~ Embodied Team Intelligence in Multi-Robot Systems
(Page 1869)
Serramia,
Marc (IIIA-CSIC)
Main
Track Full Paper ~ Towards Pluralistic Value Alignment: Aggregating
Value Systems Through lp-Regression
(Page 780)
Seyde,
Tim (Massachusetts
Institute of Technology)
Extended
Abstract ~ Autonomous Flight Arcade Challenge: Single- and Multi-Agent
Learning Environments for Aerial Vehicles
(Page 1744)
Shah,
Naman (Arizona
State University)
Main
Track Full Paper ~ Using Deep Learning to Bootstrap Abstractions
for Hierarchical Robot Planning
(Page 1183)
Demonstration
Track ~ JEDAI: A System for Skill-Aligned Explainable Robot Planning
(Page 1917)
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|
Shah,
Nihar B. (Carnegie
Mellon University)
Extended
Abstract ~ Near-Optimal Reviewer Splitting in Two-Phase Paper
Reviewing and Conference Experiment Design
(Page 1642)
Shah,
Nisarg (University
of Toronto)
Main
Track Full Paper ~ How to Fairly Allocate Easy and Difficult
Chores (Page 372)
Main
Track Full Paper ~ Little House (Seat) on the Prairie: Compactness,
Gerrymandering, and Population Distribution
(Page 154)
Shao,
Kun (Huawei
Noah's Ark Lab)
Extended
Abstract ~ Multiagent Q-learning with Sub-Team Coordination
(Page 1630)
Shapiro,
Ehud (Weizmann
Institute of Science & Columbia University)
Blue
Sky Ideas Track ~ Foundations for Grassroots Democratic Metaverse
(Page 1814)
She,
Jennifer (Stanford
University)
Extended
Abstract ~ Agent-Time Attention for Sparse Rewards Multi-Agent
Reinforcement Learning
(Page 1723)
Sheidlower,
Isaac (Tufts
University)
Extended
Abstract ~ Environment Guided Interactive Reinforcement Learning:
Learning from Binary Feedback in High-Dimensional Robot Task Environments
(Page 1726)
Shi,
Weidong (University
of Houston)
Main
Track Full Paper ~ How Hard is Bribery in Elections with Randomly
Selected Voters
(Page 1265)
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|
Shin,
Hayong (Korea
Advanced Institute of Science and Technology)
Main
Track Full Paper ~ REMAX: Relational Representation for Multi-Agent
Exploration (Page
1137)
Short,
Elaine Schaertl (Tufts
University)
Extended
Abstract ~ Environment Guided Interactive Reinforcement Learning:
Learning from Binary Feedback in High-Dimensional Robot Task Environments
(Page 1726)
Shpilman,
Alexei (JetBrains
Research & HSE University)
Main
Track Full Paper ~ Scalable Multi-Agent Model-Based Reinforcement
Learning (Page
381)
Shukla,
Yash (Tufts
University)
Main
Track Full Paper ~ ACuTE: Automatic Curriculum Transfer from
Simple to Complex Environments
(Page 1192)
Siebenbrunner,
Christoph (Harvard
University)
Main
Track Full Paper ~ Efficient Algorithms for Finite Horizon and
Streaming Restless Multi-Armed Bandit Problems
(Page 880)
Siebenbrunner,
Christoph (Harvard
University)
Main
Track Full Paper ~ Networked Restless Multi-Armed Bandits for
Mobile Interventions
(Page 1001)
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|
Siebert,
Luciano C. (Delft
University of Technology)
Main
Track Full Paper ~ MORAL: Aligning AI with Human Norms through
Multi-Objective Reinforced Active Learning
(Page 1038)
Sierra,
Carles (Artificial
Intelligence Research Institute (IIIA-CSIC))
Main
Track Full Paper ~ Building Contrastive Explanations for Multi-Agent
Team Formation
(Page 516)
Extended
Abstract ~ capacitated Network Design Games on a Generalized
Fair Allocation Model
(Page 1598)
Sikdar,
Sujoy (Binghamton
University)
Main
Track Full Paper ~ Anti-Malware Sandbox Games
(Page 1201)
JAAMAS
Track ~ Designing Efficient and Fair Mechanisms for Multi-Type
Resource Allocation
(Page 1938)
Sileno,
Giovanni (University
of Amsterdam)
Main
Track Full Paper ~ Preference-Based Goal Refinement in BDI Agents
(Page 917)
Silva,
Fábio (Polytechnic
Institute of Porto)
Demonstration
Track ~ KnowLedger - A Multi-Agent System Blockchain for Smart
Cities Data (Page
1896)
Sinapov,
Jivko (Tufts
University)
Main
Track Full Paper ~ ACuTE: Automatic Curriculum Transfer from
Simple to Complex Environments
(Page 1192)
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|
Singh,
Dhirendra (RMIT
University)
Main
Track Full Paper ~ Testing Requirements via User and System Stories
in Agent Systems
(Page 1119)
Singh,
Gargi (Indian
Institute of Technology Kanpur)
Extended
Abstract ~ Pre-trained Language Models as Prior Knowledge for
Playing Text-based Games
(Page 1729)
Singh,
Ishika (Indian
Institute of Technology Kanpur)
Extended
Abstract ~ Pre-trained Language Models as Prior Knowledge for
Playing Text-based Games
(Page 1729)
Singh,
Munindar P. (North
Carolina State University)
Main
Track Full Paper ~ Pippi: Practical Protocol Instantiation
(Page 281)
Singh,
Siddharth (University
of Maryland)
Extended
Abstract ~ Status-quo Policy Gradient in Multi-Agent Reinforcement
Learning (Page
1530)
Sinha,
Abhishek (Waymo)
Extended
Abstract ~ Status-quo Policy Gradient in Multi-Agent Reinforcement
Learning (Page
1530)
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|
Sirur,
S. (University
of Oxford)
Main
Track Full Paper ~ Properties of Reputation Lag Attack Strategies
(Page 1210)
Doctoral
Consortium ~ The Reputation Lag Attack
(Page 1872)
Sklar,
Elizabeth I. (University
of Lincoln)
Extended
Abstract ~ Multi-agent Task Allocation for Fruit Picker Team
Formation (Page
1618)
Sklar,
Matthew (Georgia
Institute of Technology)
Main
Track Full Paper ~ Learning Efficient Diverse Communication for
Cooperative Heterogeneous Teaming
(Page 1173)
Soh,
Harold (National
University of Singapore)
Main
Track Full Paper ~ The Dynamics of Q-learning in Population Games:
A Physics-inspired Continuity Equation Model
(Page 615)
Solovey,
Kiril (Technion
- Israel Institute of Technology)
Main
Track Full Paper ~ Balancing Fairness and Efficiency in Traffic
Routing via Interpolated Traffic Assignment
(Page 678)
Solovey,
Kiril (Stanford
University)
Main
Track Full Paper ~ Coordinated Multi-Agent Pathfinding for Drones
and Trucks over Road Networks
(Page 272)
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|
Soltani,
Mohammadreza (Duke
University)
Extended
Abstract ~ Multi-Agent Adversarial Attacks for Multi-Channel
Communications
(Page 1580)
Somenzi,
Fabio (University
of Colorado Boulder)
Main
Track Full Paper ~ Translating Omega-Regular Specifications to
Average Objectives for Model-Free Reinforcement Learning
(Page 732)
Sommer,
Felix (LMU
Munich)
Main
Track Full Paper ~ Emergent Cooperation from Mutual Acknowledgment
Exchange (Page
1047)
Song,
Dawn (University
of California, Berkeley)
Main
Track Full Paper ~ Characterizing Attacks on Deep Reinforcement
Learning (Page
1010)
Soriano
Marcolino, Leandro (Lancaster
University)
Demonstration
Track ~ AdLeap-MAS: An Open-source Multi-Agent Simulator for
Ad-hoc Reasoning
(Page 1893)
Soudjani,
Sadegh (Newcastle
University)
Main
Track Full Paper ~ Translating Omega-Regular Specifications to
Average Objectives for Model-Free Reinforcement Learning
(Page 732)
Spaan,
Matthijs T. J. (Delft
University of Technology)
Extended
Abstract ~ Speeding up Deep Reinforcement Learning through Influence-Augmented
Local Simulators
(Page 1735)
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|
Srikanthan,
Anusha (University
of Pennsylvania)
Extended
Abstract ~ Resource-Aware Adaptation of Heterogeneous Strategies
for Coalition Formation
(Page 1732)
Srinivasan,
Aravind (University
of Maryland)
Main
Track Full Paper ~ Deploying Vaccine Distribution Sites for Improved
Accessibility and Equity to Support Pandemic Response
(Page 789)
Main
Track Full Paper ~ The Generalized Magician Problem under Unknown
Distributions and Related Applications
(Page 1219)
Extended
Abstract ~ Rawlsian Fairness in Online Bipartite Matching: Two-sided,
Group, and Individual
(Page 1583)
Extended
Abstract ~ Theoretical Models and Preliminary Results for Contact
Tracing and Isolation
(Page 1672)
Srivastava,
Siddharth (Arizona
State University)
Main
Track Full Paper ~ Using Deep Learning to Bootstrap Abstractions
for Hierarchical Robot Planning
(Page 1183)
Demonstration
Track ~ JEDAI: A System for Skill-Aligned Explainable Robot Planning
(Page 1917)
Stabile
Junior, Márcio Fernando (Universidade
de São Paulo)
Doctoral
Consortium ~ Using Multi-objective Optimization to Generate Timely
Responsive BDI Agents
(Page 1875)
Staniaszek,
Michal (University
of Oxford)
Main
Track Full Paper ~ Context-Aware Modelling for Multi-Robot Systems
Under Uncertainty
(Page 1228)
Stathis,
Kostas (Royal
Holloway, University of London)
Extended
Abstract ~ Deep Learnable Strategy Templates for Multi-Issue
Bilateral Negotiation
(Page 1533)
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|
Stephens,
Alex (University
of Oxford)
Main
Track Full Paper ~ Negotiated Path Planning for Non-Cooperative
Multi-Robot Systems
(Page 472)
Stewart,
Alistair (Web
3 Foundation)
Main
Track Full Paper ~ Efficient Approximation Algorithms for the
Inverse Semivalue Problem
(Page 354)
Stojanovic,
Ivan (Shell
Shipping & Maritime)
Demonstration
Track ~ An Agent-Based Simulator for Maritime Transport Decarbonisation
(Page 1890)
Strangway,
Tyrone (Ben-Gurion
University of the Negev)
Main
Track Full Paper ~ Little House (Seat) on the Prairie: Compactness,
Gerrymandering, and Population Distribution
(Page 154)
Street,
Charlie (University
of Oxford)
Main
Track Full Paper ~ Context-Aware Modelling for Multi-Robot Systems
Under Uncertainty
(Page 1228)
Stump,
Ethan (DEVCOM
Army Research Laboratory)
Blue
Sky Ideas Track ~ The Holy Grail of Multi-Robot Planning: Learning
to Generate Online-Scalable Solutions from Offline-Optimal Experts
(Page 1804)
|
|
Suau,
Miguel (Delft
University of Technology)
Extended
Abstract ~ Speeding up Deep Reinforcement Learning through Influence-Augmented
Local Simulators
(Page 1735)
Subramanian,
Easwar (TCS
Innovation Labs)
Extended
Abstract ~ Multi-unit Double Auctions: Equilibrium Analysis and
Bidding Strategy using DDPG in Smart-grids
(Page 1569)
Subramanian,
Jayakumar (Adobe)
Extended
Abstract ~ Status-quo Policy Gradient in Multi-Agent Reinforcement
Learning (Page
1530)
Sugawara,
Toshiharu (Waseda
University)
Main
Track Full Paper ~ Standby-Based Deadlock Avoidance Method for
Multi-Agent Pickup and Delivery Tasks
(Page 1427)
Sumita,
Hanna (Tokyo
Institute of Technology)
Main
Track Full Paper ~ Fair and Truthful Mechanism with Limited Subsidy
(Page 534)
Sun,
Mingjie (Carnegie
Mellon University)
Main
Track Full Paper ~ Characterizing Attacks on Deep Reinforcement
Learning (Page
1010)
|
|
Sunberg,
Zachary (University
of Colorado Boulder)
Main
Track Full Paper ~ Intention-Aware Navigation in Crowds with
Extended-Space POMDP Planning
(Page 562)
Sunny,
Ahmed (Texas
Tech University)
Main
Track Full Paper ~ How Hard is Bribery in Elections with Randomly
Selected Voters
(Page 1265)
Suri,
Karush (University
of Toronto)
Main
Track Full Paper ~ Off-Policy Evolutionary Reinforcement Learning
with Maximum Mutations
(Page 1237)
Suryanarayana,
Sharadhi Alape (Bar-Ilan
University)
Main
Track Full Paper ~ Justifying Social-Choice Mechanism Outcome
for Improving Participant Satisfaction
(Page 1246)
Švancara,
Jiří (Charles
University)
Main
Track Full Paper ~ Reduction-based Solving of Multi-agent Pathfinding
on Large Maps Using Graph Pruning
(Page 624)
Swarup,
Samarth (Biocomplexity
Institute and Initiative & University of Virginia)
Extended
Abstract ~ Data-driven Agent-based Models for Optimal Evacuation
of Large Metropolitan Areas for Improved Disaster Planning
(Page 1639)
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