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Reachability-based model reduction for Markov decision process
2015
Journal of the Brazilian Computer Society
This paper presents how to improve model reduction for Markov decision process (MDP), a technique that generates equivalent MDPs that can be smaller than the original MDP. In order to improve the current state-of-the-art, we take advantage of the information about the initial state of the environment. Given this initial state information, we perform a reachability analysis and then employ model reduction techniques to the reachable space of the original problem. Further, we also eliminate
doi:10.1186/s13173-015-0024-1
fatcat:dznkv7z6zveitcagsleueimwli