| Presentation | 2011-07-26 Modeling and estimating passive dynamics distributions in linearly solvable Markov decision processes Mauricio BURDELIS, Kazushi IKEDA, |
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| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Todorov has recently introduced a class of linearly-solvable Markov decision processes (LSMDPs) which greatly simplifies reinforcement learning. Under some specific conditions, the problem of choosing optimal actions becomes linear, and the optimal transition probabilities can be obtained analytically. In order to apply the LSMDPs framework to realistic problems, it is necessary to know the passive dynamics distribution, which is crucial in the theory. The purpose of the present work is to propose a method to estimate the passive dynamics distribution in reinforcement learning problems. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Linear Bellman Equation / Reinforcement Learning |
| Paper # | NC2011-43 |
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| Committee | NC |
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| Conference Date | 2011/7/18(1days) |
| Place (in Japanese) | (See Japanese page) |
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| Topics (in Japanese) | (See Japanese page) |
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| Registration To | Neurocomputing (NC) |
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| Language | ENG |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Modeling and estimating passive dynamics distributions in linearly solvable Markov decision processes |
| Sub Title (in English) | |
| Keyword(1) | Linear Bellman Equation |
| Keyword(2) | Reinforcement Learning |
| 1st Author's Name | Mauricio BURDELIS |
| 1st Author's Affiliation | Graduate School of Information Science, Nara Institute of Science and Technology() |
| 2nd Author's Name | Kazushi IKEDA |
| 2nd Author's Affiliation | Graduate School of Information Science, Nara Institute of Science and Technology |
| Date | 2011-07-26 |
| Paper # | NC2011-43 |
| Volume (vol) | vol.111 |
| Number (no) | 157 |
| Page | pp.pp.- |
| #Pages | 6 |
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