Presentation | 1997/3/17 Learning of Viewpoint Movement by Delayed Reinforcement Signal Tetsuo Nishino, Katsunari Shibata, Yoichi Okabe, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | When watching something, we move our veiwpoint to it. This veiwpoint movement can be thought as one of actions to achieve recognition. Then it is supposed that a system can learn to move its viewpoint appropriately without teaching how to move its veiwpoint. We propose a learning method using reinforcement learning for a neural network to learn to move its veiwpoint appropriately. The system can obtain the delayed reinforcement signal calculated from the recognition result it made finally. We conclude from simulations that the method enables the system to move its viewpoint appropriately though any information which directly tells how to move its viewpoint isn't given. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | reinforcement learning / active perception / sensor movement / Q-Learning |
Paper # | NC96-135 |
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Committee | NC |
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Conference Date | 1997/3/17(1days) |
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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) | Learning of Viewpoint Movement by Delayed Reinforcement Signal |
Sub Title (in English) | |
Keyword(1) | reinforcement learning |
Keyword(2) | active perception |
Keyword(3) | sensor movement |
Keyword(4) | Q-Learning |
1st Author's Name | Tetsuo Nishino |
1st Author's Affiliation | Research Center for Advanced Science and Technology,the Univ. of Tokyo() |
2nd Author's Name | Katsunari Shibata |
2nd Author's Affiliation | Research Center for Advanced Science and Technology,the Univ. of Tokyo |
3rd Author's Name | Yoichi Okabe |
3rd Author's Affiliation | Research Center for Advanced Science and Technology,the Univ. of Tokyo |
Date | 1997/3/17 |
Paper # | NC96-135 |
Volume (vol) | vol.96 |
Number (no) | 583 |
Page | pp.pp.- |
#Pages | 8 |
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