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Stochastic control / Partially observable Markov decision process / Markov decision process / Markov model / Dynamical system / Reinforcement learning / Pruning / Linear programming / Constraint algorithm / Statistics / Dynamic programming / Markov processes


Planning in Models that Combine Memory with Predictive Representations of State
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Document Date: 2006-01-11 01:12:22


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Country

Jordan / /

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Facility

Brown University / Hong Kong University of Science / Engineering University of Michigan / /

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test systems / incremental pruning algorithm / value iteration algorithms / stochastic planning algorithms / art general-purpose algorithms / stochastic dynamical systems / value-iteration algorithms / dynamical systems / /

Organization

National Science Foundation / Brown University / American Association for Artificial IntelliCopyright / University of Michigan / Hong Kong University of Science and Technology / /

Person

Michael R. James / /

Product

Shuttle / /

PublishedMedium

Machine Learning / /

Technology

PSR-IP algorithm / three algorithms / value iteration algorithms / stochastic planning algorithms / automatic identification / artificial intelligence / incremental pruning algorithm / planning algorithm / POMDP-IP algorithms / IP algorithm / IP algorithms / planning algorithms / Incremental pruning The PSR-IP algorithm / Machine Learning / mPSR-IP algorithm / html / value-iteration algorithms / /

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www.aaai.org / http /

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