Adaptive Planning for Markov Decision Processes with Uncertain Transition Models via Incremental Feature Dependency Discovery
Solving large scale sequential decision making problems without prior knowledge of the state transition model is a key problem in the planning literature. One approach to tackle this problem is to learn the state transition model online using limited observed measurements. We present an adaptive fun...
Main Authors: | , , , |
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Other Authors: | |
Format: | Article |
Language: | en_US |
Published: |
Springer-Verlag
2013
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Online Access: | http://hdl.handle.net/1721.1/81767 https://orcid.org/0000-0002-2508-1957 https://orcid.org/0000-0001-8576-1930 |