*概要 [#me150a1d]
-自律型エージェントとマルチエージェント・システム国際会議(International Conference on Autonomous Agents and Multiagent Systems)
-2009年5月10日-15日
-ブダペスト
-http://www.conferences.hu/AAMAS2009/
マルチエージェントの分野では最も重要な国際会議です.
マルチエージェント強化学習に関する発表があります.
*Tutorial 17: Reinforcement Learning and Beyond [#od7fd666]
-Part I: ''Introduction to Reinforcement Learning''
-Part II: ''Transfer Learning in RL''
-Part III: ''Multi-agent Learning and Learning Automata''~
Katja Verbeeck, Jong Steven, Peter Vrancx, Matthew E. Taylor, Alessandro Lazaric,
Francisco S. Melo
*Session 12: Multi-Agent Learning I [#o79c5930]
-''Generalized Model Learning for Reinforcement Learning in Factored Domains''~
Todd Hester, Peter Stone
-''Multi-Agent Reinforcement Learning: Algorithm Converging to Nash Equilibrium in General-Sum Discounted Stochastic Games''~
Natalia Akchurina
-''Online Exploration in Least-Squares Policy Iteration''~
Lihong Li, Michael Littman, Christopher Mansley
-''Transfer via Soft Homomorphisms''~
Jonathan Sorg, Satinder Singh
-''An Empirical Analysis of Value Function-Based and Policy Search Reinforcement Learning''~
Shivaram Kalyanakrishnan, Peter Stone
*Session 9: POMDPs [#f5a9470c]
-''Constraint-Based Dynamic Programming for Decentralized POMDPs with Structured Interactions''~
Kumar Akshat, Shlomo Zilberstein
-''Point-Based Incremental Pruning Heuristic for Solving Finite-Horizon DEC-POMDPs''~
Jilles Steeve Dibangoye, AbdelIllah Mouaddib, Brahim Chaib-draa
-''Lossless Clustering of Histories in Decentralized POMDPs''~
Frans Oliehoek, Shimon Whiteson, Matthijs Spaan
-''SarsaLandmark: An Algorithm for Learning in POMDPs with Landmarks''~
Michael James, Satinder Singh
-''Achieving Goals in Decentralized POMDPs''~
Christopher Amato, Shlomo Zilberstein