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, Kaelbling, Leslie P., Lozano-Perez, Tomas
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Language:en_US
Published: AAAI Press/International Joint Conferences on Artificial Intelligence 2014
Online Access:http://hdl.handle.net/1721.1/90898
https://orcid.org/0000-0002-8657-2450
https://orcid.org/0000-0001-6054-7145

Internet

http://hdl.handle.net/1721.1/90898
https://orcid.org/0000-0002-8657-2450
https://orcid.org/0000-0001-6054-7145

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