Presentation | 2003/1/28 Adjustment of Discount Rate Using Index for Progress of Learning Naoko OGAWA, Akio NAMIKI, Masatoshi ISHIKAWA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | We show that it can be effective to adjust the discount rate using an index for progress of learning. In the strategy that we propose, the discount rate is small when the learning does not progress enough, and is increased as the learning advances. We also propose three methods for its adjustment ; exponential, by TD error, and by reliability, which are verificated by numerical experiments for a windy gridworld task. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Reinforcement Learning / Discount Rate / Progress of Learning / Reliability / Windy Gridworld Task |
Paper # | NC2002-129 |
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Committee | NC |
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Conference Date | 2003/1/28(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) | Adjustment of Discount Rate Using Index for Progress of Learning |
Sub Title (in English) | |
Keyword(1) | Reinforcement Learning |
Keyword(2) | Discount Rate |
Keyword(3) | Progress of Learning |
Keyword(4) | Reliability |
Keyword(5) | Windy Gridworld Task |
1st Author's Name | Naoko OGAWA |
1st Author's Affiliation | Graduate School of Information Science and Technology, Univ. of Tokyo() |
2nd Author's Name | Akio NAMIKI |
2nd Author's Affiliation | CREST, JST:Graduate School of Information Science and Technology, Univ. of Tokyo |
3rd Author's Name | Masatoshi ISHIKAWA |
3rd Author's Affiliation | Graduate School of Information Science and Technology, Univ. of Tokyo |
Date | 2003/1/28 |
Paper # | NC2002-129 |
Volume (vol) | vol.102 |
Number (no) | 628 |
Page | pp.pp.- |
#Pages | 6 |
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