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. This strategy sacrifices optimality for the ability to address a large class of very large problems. Our algorithm works e...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
| Published: |
Association for the Advancement of Artificial Intelligence
2011
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| Online Access: | http://hdl.handle.net/1721.1/61387 https://orcid.org/0000-0002-8657-2450 https://orcid.org/0000-0001-6054-7145 |