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 effic...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
Association for the Advancement of Artificial Intelligence,
2011-03-03T19:04:22Z.
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| Subjects: | |
| Online Access: | Get fulltext |