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Daniel S. Bernstein, Shlomo Zilberstein, and Neil Immerman. The Complexity of Decentralized Control of Markov Decision Processes. In Proceedings of the Sixteenth Conference on Uncertainty in Artificial Intelligence (UAI), pages 32-37, Stanford, California, June 2000.
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Dynamic Programming for Partially Observable Stochastic Games
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Eric A. Hansen, Daniel S. Bernstein, and Shlomo Zilberstein. Dynamic Programming for Partially Observable Stochastic Games. In Proceedings of the Nineteenth National Conference on Artificial Intelligence (AAAI), pages 709-715, San Jose, California, July 2004.
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Taming Decentralized POMDPs: Towards Efficient Policy Computation for Multiagent Settings
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David V. Pynadath and Milind Tambe. The Communicative Multiagent Team Decision Problem: Anaylzing Teamwork Theories and Models. Journal of Artificial Intelligence Research (JAIR), 16:389-423, June 2002.
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The Complexity of Multiagent Systems: The Price of Silence
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Zinovi Rabinovich, Claudia V. Goldman, and Jeffrey S. Rosenschein. The Complexity of Multiagent Systems: The Price of Silence. In Proceedings of the Second International Joint Conference on Autonomous Agents and Multi- Agent Systems (AAMAS), pages 1102-1103, Melbourne, Australia, 2003.
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MAA*: A Heuristic Search Algorithm for Solving Decentralized POMDPs
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Daniel Szer, Francois Charpillet, and Shlomo Zilberstein. MAA*: A Heuristic Search Algorithm for Solving Decentralized POMDPs. In Proceedings of the Twenty-First Conference on Uncertainty in Artificial Intelligence (UAI), pages 576-583, Edinburgh, Scotland, July 2005.
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