| Presentation | 2007-01-17 A Simple Construction Method for the States of Chaos Control Using Reinforcement Learning Norihisa SATO, Masaharu ADACHI, Makoto KOTANI, |
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| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | A method for control of chaos with reinforcement learning is proposed by Gadaleta et al.. The method can contorl a chaotic behavior to a fixed point or a periodic solution even if one does not knwow the position of the target point(s). However, the reinfocement learning is a trial and error process, therefore we often fail to control. The success rate of control is depend on the states of the reinfocement learning. Then, we propose a simple construction method for the states of chaos control using reinforcement learning. The method requires less computational costs for preparation of the states than the conventional method. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | control of chaos / reinforcement learning |
| Paper # | NLP2006-124 |
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| Conference Information | |
| Committee | NLP |
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| Conference Date | 2007/1/10(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Nonlinear Problems (NLP) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Simple Construction Method for the States of Chaos Control Using Reinforcement Learning |
| Sub Title (in English) | |
| Keyword(1) | control of chaos |
| Keyword(2) | reinforcement learning |
| 1st Author's Name | Norihisa SATO |
| 1st Author's Affiliation | Graduate School of Advanced Science and Technology, Tokyo Denki University() |
| 2nd Author's Name | Masaharu ADACHI |
| 2nd Author's Affiliation | Graduate School of Advanced Science and Technology, Tokyo Denki University |
| 3rd Author's Name | Makoto KOTANI |
| 3rd Author's Affiliation | Graduate School of Advanced Science and Technology, Tokyo Denki University |
| Date | 2007-01-17 |
| Paper # | NLP2006-124 |
| Volume (vol) | vol.106 |
| Number (no) | 451 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |