概要 †
- 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 †
- 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 †
- 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 †
- 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