| Presentation | 2006-03-21 Speeding up reinforcement learning by autonomous construction of state space Ikuro OSHIMA, Hidehiro NAKANO, Arata MIYAUCHI, |
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| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | hen reinforcement learning is applied to real tasks, the calculation amount increases as the number of states increases. Therefore, the computation time for the learning significantly increases. In this paper, we propose a method of speeding up reinforcement learning by autonomous construction of state space. A learning agent autonomously constructs state space based on sensory information in learning process. The proposed method can control the increase of the number of states with keeping rationality of learning and can reduce computation time for the learning. We perform numerical experiments by some maze problems as examples and show effectivity of the proposed method. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | reinforcement learning / autonomous construction / state merging / learning performance |
| Paper # | NLP2005-153 |
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| Conference Information | |
| Committee | NLP |
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| Conference Date | 2006/3/14(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) | Speeding up reinforcement learning by autonomous construction of state space |
| Sub Title (in English) | |
| Keyword(1) | reinforcement learning |
| Keyword(2) | autonomous construction |
| Keyword(3) | state merging |
| Keyword(4) | learning performance |
| 1st Author's Name | Ikuro OSHIMA |
| 1st Author's Affiliation | Musashi Institute Of Technology() |
| 2nd Author's Name | Hidehiro NAKANO |
| 2nd Author's Affiliation | Musashi Institute Of Technology |
| 3rd Author's Name | Arata MIYAUCHI |
| 3rd Author's Affiliation | Musashi Institute Of Technology |
| Date | 2006-03-21 |
| Paper # | NLP2005-153 |
| Volume (vol) | vol.105 |
| Number (no) | 676 |
| Page | pp.pp.- |
| #Pages | 5 |
| Date of Issue | |