| Presentation | 2005/3/23 Quick construction of task model by combination of local environmental model and application to multiple tasks Yu OHIGASHI, Takashi OMORI, Satoru ISHIKAWA, Koji MORIKAWA, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | The traditional Reinforcement Learning(RL) supposed a complex task but single. When the traditional RL agent faced a task similar to the learned one, the agent must re-learn the task from the beginning because of its unuse of the learned result. In this paper, we supposed a set of tasks that are some what similar each other. We propose a technique of action learning that is able to quickly learn similar tasks by the reuse of previously learned knowledge. It is the model-based RL method which uses the task model constracted by combining primitive local predictors for predicting environmental dynamics. To evaluate the proposed method, we performed a computer simulation using a simple ping pong game with variation. Then we discuss applicable range and type of tasks of our method. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Model based reinforcement learning / Multiple task / Task model / Reuse of knowledge |
| Paper # | NC2004-219 |
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| Conference Information | |
| Committee | NC |
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| Conference Date | 2005/3/23(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Neurocomputing (NC) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Quick construction of task model by combination of local environmental model and application to multiple tasks |
| Sub Title (in English) | |
| Keyword(1) | Model based reinforcement learning |
| Keyword(2) | Multiple task |
| Keyword(3) | Task model |
| Keyword(4) | Reuse of knowledge |
| 1st Author's Name | Yu OHIGASHI |
| 1st Author's Affiliation | Graduate School of Information Science, Hokkaido Univ.() |
| 2nd Author's Name | Takashi OMORI |
| 2nd Author's Affiliation | Graduate School of Information Science, Hokkaido Univ. |
| 3rd Author's Name | Satoru ISHIKAWA |
| 3rd Author's Affiliation | Graduate School of Information Science, Hokkaido Univ. |
| 4th Author's Name | Koji MORIKAWA |
| 4th Author's Affiliation | Advanced Technology Research Laboratories, Matsushita Electric Industrial Co., Ltd. |
| Date | 2005/3/23 |
| Paper # | NC2004-219 |
| Volume (vol) | vol.104 |
| Number (no) | 760 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |