DetH*: Approximate Hierarchical Solution of Large Markov Decision Processes

DetH*: Approximate Hierarchical Solution of Large Markov Decision Processes

This paper presents an algorithm for finding approximately optimal policies in very large Markov decision processes by constructing a hierarchical model and then solving it approximately. It exploits factored representations to achieve compactness and efficiency and to discover connectivity properti...

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Bibliographic Details
Main Authors: Barry, Jennifer (Contributor), Kaelbling, Leslie P. (Contributor), Lozano-Perez, Tomas (Contributor)
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor), Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor)
Format: Article
Language:English
Published: AAAI Press/International Joint Conferences on Artificial Intelligence, 2014-10-10T17:43:26Z.
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