Markov Games as a Framework for Multi-Agent Reinforcement Learning (1994)

Cached

Download Links

by Michael L. Littman
Venue:In Proceedings of the Eleventh International Conference on Machine Learning
Citations:417 - 10 self

Documents Related by Co-Citation

220 Multi-Agent Reinforcement Learning: Independent vs. Cooperative Agents – Ming Tan - 1993
249 The dynamics of reinforcement learning in cooperative multiagent systems – Caroline Claus, Craig Boutilier - 1998
237 Multiagent Reinforcement Learning: Theoretical Framework and an Algorithm – Junling Hu, Michael P. Wellman - 1998
1134 Reinforcement learning: a survey – Leslie Pack Kaelbling, Michael L. Littman, Andrew W. Moore - 1996
135 Learning to Coordinate Without Sharing Information – Sandip Sen, Ip Sen, Mahendra Sekaran, John Hale - 1994
1137 Learning from delayed rewards – C J C H Watkins - 1989
1060 Learning to predict by the methods of temporal differences – Richard S. Sutton - 1988
545 Some Studies in Machine Learning using the Game of Checkers – A Samuel - 2000
159 Stochastic games – L S Shapley - 1953
561 The Theory of Learning in Games – D Fudenberg, D Levine - 1998
2829 Reinforcement Learning I: Introduction – Richard S. Sutton, Andrew G. Barto - 1998
585 The evolution of cooperation. Basic – R Axelrod - 1984
472 Learning to act using real-time dynamic programming – Andrew G. Barto, Steven J. Bradtke, Satinder P. Singh - 1993
878 Markov Decision Processes: Discrete Stochastic Dynamic Programming – M L Puterman - 1994
19 Learning to coordinate actions in multi-agent systems – G Wei - 1993
91 Convergence Results for Single-Step On-Policy Reinforcement-Learning Algorithms – Satinder Singh, Tommi Jaakkola, Michael L. Littman, Csaba Szepesv Ari - 1998
166 Variance-penalized Markov decision processes – J A Filar, L C M Kallenberg, H-M Lee - 1989
158 On the synthesis of useful social laws for artificial agent societies – Yoav Shoham, Moshe Tennenholtz - 1992
1197 An introduction to game theory – M Osborne - 2004