| Presentation | 2012-11-08 Adaptive Ability of Concurrent Q Learning, Sarsa and Q Learning to Dynamical Environment Kazunori MURAKAMI, Tomoko OZEKI, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In this paper, we compare the performance of Sarsa, Q learning and concurrent Q learning, one of the adaptive techniques for dynamic environment in the field of reinforcement learning. In reinforcement learning in maze, we validate what kind of behavior each technique shows for the change of a destination or the obstacle. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Reinforcement learning / Dynamic environment / Concurrent Q learning |
| Paper # | IBISML2012-67 |
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| Committee | IBISML |
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| Conference Date | 2012/10/31(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Information-Based Induction Sciences and Machine Learning (IBISML) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Adaptive Ability of Concurrent Q Learning, Sarsa and Q Learning to Dynamical Environment |
| Sub Title (in English) | |
| Keyword(1) | Reinforcement learning |
| Keyword(2) | Dynamic environment |
| Keyword(3) | Concurrent Q learning |
| 1st Author's Name | Kazunori MURAKAMI |
| 1st Author's Affiliation | Graduate school of the Engineering, Tokai University() |
| 2nd Author's Name | Tomoko OZEKI |
| 2nd Author's Affiliation | Department of Human and Information Science, Tokai University |
| Date | 2012-11-08 |
| Paper # | IBISML2012-67 |
| Volume (vol) | vol.112 |
| Number (no) | 279 |
| Page | pp.pp.- |
| #Pages | 5 |
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