| Presentation | 2005-01-24 A Detection Method of Environmental Changes for Reinforcement Learning Tetsuya TAKAHASHI, Masaharu ADACHI, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Reinforcement learning is a kind of learning systems which can deal with an unknown environment. In the reinforcement learning, an agent learns the optimal actions by applying a trial-and-error to an environment. Therefore. it is known that it can apply also to a dynamic environment. It is already reported that the method of adjusting specific parameters in the reinforcement learning is effective, when an agent learns a dynamic environment. The method for adjusting the parameters is known as meta-learning in the reinforcement learning. In this article, we propose a novel method for detecting environmental changes in the reinforcement learning. The proposed method utilizes recurrence plots of a state transition of an agent, and quantify changes of the recurrence plot by a texture analysis. It is shown that the proposed method is effective to detect environmental changes. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | reinforcement learning / environmental changes / recurrence plots |
| Paper # | NLP2004-95 |
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| Conference Information | |
| Committee | NLP |
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| Conference Date | 2005/1/17(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 Detection Method of Environmental Changes for Reinforcement Learning |
| Sub Title (in English) | |
| Keyword(1) | reinforcement learning |
| Keyword(2) | environmental changes |
| Keyword(3) | recurrence plots |
| 1st Author's Name | Tetsuya TAKAHASHI |
| 1st Author's Affiliation | Department of Electronic Engineering, Graduate School of Engineering, Tokyo Denki University /() |
| 2nd Author's Name | Masaharu ADACHI |
| 2nd Author's Affiliation | |
| Date | 2005-01-24 |
| Paper # | NLP2004-95 |
| Volume (vol) | vol.104 |
| Number (no) | 583 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |