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Yoav Shoham, Rob Powers, and Teg Grenager. Multi-agent reinforcement learning: a critical survey. Technical report, Computer Science Department, Stanford University, 2003.

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Game theory and AI: a unified approach to poker games - Oliehoek (2005)   (Correct)

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Yoav Shoham, Rob Powers, and Teg Grenager. Multi-agent reinforcement learning: a critical survey. Technical report, Computer Science Department, Stanford University, 2003.


Model-based Reinforcement Learning for Partially.. - With Sampling-Based State   (Correct)

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Shoham, Y., Powers, R. and Grenager, T., Multi-agent reinforcement learning: a critical survey, Proceedings of AAAI Fall Symp. on Artificial Multiagent Learning, pp. 1--13, 2004.


Improving Coordination with Communication in Multi-agent.. - Learning Daniel Szer (2004)   (Correct)

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Yoav Shoham, Rob Powers, and Trond Grenager. Multiagent reinforcement learning: A critical survey. Technical report, Stanford University, 2003.


Resource Allocation in the Grid Using Reinforcement Learning - Aram Galstyan Karl (2004)   (4 citations)  (Correct)

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Y. Shoham, T. Grenager, and R. Powers. Multiagent reinforcement learning: A critical survey. Web manuscript, 2003.


Interac-DEC-MDP: Towards the use of interactions in DEC-MDP - Vincent Thomas Christine (2004)   (Correct)

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Y. Shoham, R. Powers, and T. Grenager. Multi-agent reinforcement learning: a critical survey. Technical report, 2003.


Multiagent Reinforcement Learning for Multi-Robot Systems: A Survey - Yang, Gu (2004)   (Correct)

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Y. Shoham and R. Powers, "Multi-agent reinforcement learning: a critical survey," 2003.


Best-Response Multiagent Learning in Non-Stationary.. - Weinberg, Rosenschein (2004)   (Correct)

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Y. Shoham, R. Powers, and T. Grenager. Multi-agent reinforcement learning: a critical survey. Technical report, Computer Science Department, Stanford University, Stanford, 2003.


Hierarchical Reinforcement Learning in.. - Fischer, Rovatsos, Weiss (2004)   (Correct)

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Y. Shoham, R. Powers, and T. Grenager. Multi-agent reinforcement learning: a critical survey. Technical report, Stanford University, 2003.


Meta-game Equilibrium for Multi-agent Reinforcement Learning - Gao, Huang, Rong, Zhou   (Correct)

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Yoav Shoham, Rob Powers, and Trond Grenager. Multi-agent reinforcement learning: a critical survey. Technical report, Stanford University, 2003.


Resource Allocation in the Grid Using Reinforcement Learning - Galstyan, Czajkowski.. (2004)   (4 citations)  (Correct)

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Y. Shoham, T. Grenager, and R. Powers. Multiagent reinforcement learning: A critical survey. Web manuscript, 2003.


Hierarchical Reinforcement Learning in.. - Fischer, Rovatsos, Weiss   (Correct)

No context found.

Y. Shoham, R. Powers, and T. Grenager. Multi-agent reinforcement learning: a critical survey. Technical report, Stanford University, 2003.

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