Presentation | 2001/3/16 A study for the acquisition of reinforcement learning procedure in navigation problems Akitoshi Ogawa, Takashi Omori, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In this paper, we propose a hypothesis that explains an evolution of animal intelligence seen from information processing. In the hypothesis, we assume asset of neural processing functions and a searching system, and expect thinking processes and action procedures are acquired in animals to execute a task when the function set is changed. To verify this hypothesis, we prepare two agents that have different structures. One acquires Q-learning procedure, and the other acquires prediction-based strategy when an environment model is added to the function set. By compare them, we show that the latter can acquires more powerful search algorithm than the former. VVe also propose a procedure representation model in brain like system to realize the procedure acquisition task. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Intelligence Evolution / Procedure Acquisition / Navigation / Reinforcement Learning / Attention System |
Paper # | NC2000-167 |
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Committee | NC |
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Conference Date | 2001/3/16(1days) |
Place (in Japanese) | (See Japanese page) |
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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) | A study for the acquisition of reinforcement learning procedure in navigation problems |
Sub Title (in English) | |
Keyword(1) | Intelligence Evolution |
Keyword(2) | Procedure Acquisition |
Keyword(3) | Navigation |
Keyword(4) | Reinforcement Learning |
Keyword(5) | Attention System |
1st Author's Name | Akitoshi Ogawa |
1st Author's Affiliation | Hokkaido University() |
2nd Author's Name | Takashi Omori |
2nd Author's Affiliation | Hokkaido University |
Date | 2001/3/16 |
Paper # | NC2000-167 |
Volume (vol) | vol.100 |
Number (no) | 688 |
Page | pp.pp.- |
#Pages | 8 |
Date of Issue |