| Presentation | 2004/3/12 A State-Space Construction for Reinforcement Learning Using Fuzzy-ART Neural Network Takeshi KAMIO, Satomi SOGA, Kunihiko MITSUBORI, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | If the continuous perceptual inputs are given to the agent in the reinforcement learning, they have to be classified into appropriate states. The state-space construction is very important because it affects the achievement of the task. Recently, several researchers have reported that the adaptive resonance theory (ART) neural network can be used to construct the state-space adaptively. However, most of them have simply used the ART network as the classifier for the perceptual inputs. In this report, we propose a new state-space construction method by Fuzzy-ART network, which is synthesized according to the results of the reinforcement learning. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Reinforcement Learning / State-Space / Adaptive Resonance Theory / Fuzzy-ART |
| Paper # | NC2003-201 |
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| Conference Information | |
| Committee | NC |
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| Conference Date | 2004/3/12(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) | A State-Space Construction for Reinforcement Learning Using Fuzzy-ART Neural Network |
| Sub Title (in English) | |
| Keyword(1) | Reinforcement Learning |
| Keyword(2) | State-Space |
| Keyword(3) | Adaptive Resonance Theory |
| Keyword(4) | Fuzzy-ART |
| 1st Author's Name | Takeshi KAMIO |
| 1st Author's Affiliation | Hiroshima City University() |
| 2nd Author's Name | Satomi SOGA |
| 2nd Author's Affiliation | Hiroshima City University |
| 3rd Author's Name | Kunihiko MITSUBORI |
| 3rd Author's Affiliation | Japan Coast Guard Academy |
| Date | 2004/3/12 |
| Paper # | NC2003-201 |
| Volume (vol) | vol.103 |
| Number (no) | 734 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |