Presentation | 2000/1/13 A recognization method of environmental change on reinforcement learning Shinya Yamamoto, Fumihiko Yamaguchi, Hiroaki Saito, Masakazu Nakanishi, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | There are some methods that resolve problems of reinforcement learning in non Marokov Decision Process(non-MDP)environment on environment changes. The efficient method of recognizing environmental change has not yet been proposed. This paper proposes a method for recognizing environmental changes on Stochastic Gradient Ascent(SGA)which is a major learning engine in non-MDP environment. It uses the change of an internal variable W of SGA. Our method can be easily put in SGA and it is available for all SGA-applicable problems. We had a simulation to show the efficiency of our method and succeeded to reduce the recognition time to almost half of the conventional method. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | reinforcement learning / Stochastic Gradient Ascent / environmental change |
Paper # | AI99-81 |
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Committee | AI |
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Conference Date | 2000/1/13(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Artificial Intelligence and Knowledge-Based Processing (AI) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | A recognization method of environmental change on reinforcement learning |
Sub Title (in English) | |
Keyword(1) | reinforcement learning |
Keyword(2) | Stochastic Gradient Ascent |
Keyword(3) | environmental change |
1st Author's Name | Shinya Yamamoto |
1st Author's Affiliation | Keio University() |
2nd Author's Name | Fumihiko Yamaguchi |
2nd Author's Affiliation | Keio University |
3rd Author's Name | Hiroaki Saito |
3rd Author's Affiliation | Keio University |
4th Author's Name | Masakazu Nakanishi |
4th Author's Affiliation | Keio University |
Date | 2000/1/13 |
Paper # | AI99-81 |
Volume (vol) | vol.99 |
Number (no) | 534 |
Page | pp.pp.- |
#Pages | 6 |
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