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Partially Observable Markov Decision Processes for Artificial Intelligence.

, , and . Reasoning with Uncertainty in Robotics, volume 1093 of Lecture Notes in Computer Science, page 146-163. Springer, (1995)

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Exact and Approximate Algorithms for Partially Observable Markov Decision Processes. Brown University, Providence, RI, (1998)Taggers for Parsers., , , , , , , and . Artif. Intell., 85 (1-2): 45-57 (1996)Incremental Pruning: A Simple, Fast, Exact Method for Partially Observable Markov Decision Processes., , and . UAI, page 54-61. Morgan Kaufmann, (1997)Planning and acting in partially observable stochastic domains, , and . Artificial Intelligence, (1994)Capability-based agent matchmaking., , and . Agents, page 201-202. ACM, (2000)Using decision-theoretic models to enhance agent system survivability., , , , and . AAMAS, page 1141-1142. ACM, (2005)Incremental Pruning: A Simple, Fast, Exact Method for Partially Observable Markov Decision Processes, , and . CoRR, (2013)Partially Observable Markov Decision Processes for Artificial Intelligence., , and . KI, volume 981 of Lecture Notes in Computer Science, page 1-17. Springer, (1995)Acting Optimally in Partially Observable Stochastic Domains., , and . AAAI, page 1023-1028. AAAI Press / The MIT Press, (1994)0-262-61102-3.Exact and Approximate Algorithms for Markov Decision Processes.. Brown University, USA, (1998)