RL-POMDP-88 - , Planning and Acting in Partially Observable...

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Main Sources Sutton and Barto, “ Reinforcement Learning Jaakkola, Singh and Jordan. “ Reinforcement learning algorithm for partially observable Markov Decision Pr oblems A. R. Cassandra, M. L. Littman, and N. L. Zhang, 1997 “ Incremental pruning: A simple, fast, exact method for partially observable Markov decision processes ”, Proceedings of the Conference on Uncertainty in AI L. P. Kaelbling, M. L. Littman, A. R. Cassandra, 1998
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Unformatted text preview: , Planning and Acting in Partially Observable Stochastic Domains , Artificial Intelligence, Vol. 101 D. Pynadath and M. Tambe, 2002 , Multiagent teamwork: Analyzing key teamwork theories and models , Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems Slides of USC Course on Advanced AI Majid Nili ML Course University of Tehran...
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This note was uploaded on 10/18/2010 for the course COMPUTER 788548 taught by Professor Widni during the Spring '08 term at Cambridge.

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