Presentation | 2009-05-25 Reinforcement learning through the active low-dimensional sensory information Mikihiro KOBAYASHI, Eiji UCHIBE, Kenji DOYA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | The goal of this research is to reduce the dimension of the state spaces in the framework of reinforcement learning using visual servoing. The adaptive visual servoing minimizes the distance between the current and desired image measurements by controlling joint angles of the camera-head mounted on the robot. The final joint angles of camera-head are regarded as the position of the robot in the environment. Therefore, the state space can be constructed from the converged joint angles of the camera head. On the other hand, the role of reinforcement learning is to drive the robot to the target object in the environment. Experimental results show that the efficacy of the proposed method with real robot. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | reinforcement learning / visual servoing / autonomous agent / internal representation / low-dimensional |
Paper # | NC2009-4 |
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Committee | NC |
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Conference Date | 2009/5/18(1days) |
Place (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) | Reinforcement learning through the active low-dimensional sensory information |
Sub Title (in English) | |
Keyword(1) | reinforcement learning |
Keyword(2) | visual servoing |
Keyword(3) | autonomous agent |
Keyword(4) | internal representation |
Keyword(5) | low-dimensional |
1st Author's Name | Mikihiro KOBAYASHI |
1st Author's Affiliation | Nara Institute of Science and Technology() |
2nd Author's Name | Eiji UCHIBE |
2nd Author's Affiliation | Okinawa Institute of Science and Technology Promotion Corporation |
3rd Author's Name | Kenji DOYA |
3rd Author's Affiliation | Okinawa Institute of Science and Technology Promotion Corporation |
Date | 2009-05-25 |
Paper # | NC2009-4 |
Volume (vol) | vol.109 |
Number (no) | 53 |
Page | pp.pp.- |
#Pages | 6 |
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