Presentation | 2006-03-17 Dependency of parameters in reinforcement learning for a mobile robot on the environment Keiji KAMEI, Masumi ISHIKAWA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Reinforcement learning has many parameters to determine their values without prior information. Performance in reinforcement learning depends on parameters. We propose to clarify the dependency of parameters in reinforcement learning on the environment. We succeed in finding the degree with which parameters are dependent on the environment. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | reinforcement learning / genetic algorithm / mobile robot / optimal path / parameter dependency |
Paper # | NC2005-161 |
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Committee | NC |
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Conference Date | 2006/3/10(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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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) | Dependency of parameters in reinforcement learning for a mobile robot on the environment |
Sub Title (in English) | |
Keyword(1) | reinforcement learning |
Keyword(2) | genetic algorithm |
Keyword(3) | mobile robot |
Keyword(4) | optimal path |
Keyword(5) | parameter dependency |
1st Author's Name | Keiji KAMEI |
1st Author's Affiliation | Dept. of Brain Science and Engineering Graduate School of Life Science and Systems Engineering Kyushu Institute of Technology() |
2nd Author's Name | Masumi ISHIKAWA |
2nd Author's Affiliation | Dept. of Brain Science and Engineering Graduate School of Life Science and Systems Engineering Kyushu Institute of Technology |
Date | 2006-03-17 |
Paper # | NC2005-161 |
Volume (vol) | vol.105 |
Number (no) | 659 |
Page | pp.pp.- |
#Pages | 6 |
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