Presentation | 2009-12-21 Synthesis of Desired Space-time Patterns based-on Reinforce Learning Yoshiaki HACHIYA, Hidehiro NAKANO, Arata MIYAUCHl, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Cellular automata (CA) is used for a image processing and a physical simulation. However, it is very difficlt for designer to synthesize CA according to target systems. Therefore, this research aims to synthesize the desired rule sequence in CA by using a simple Reinforcement Learning. This paper shows typical synthesis results for transition from specific pattern to another specific pattern , transition from random pattern to another random pattern, Self-Repairing and Self-Propagating, and confirms effectiveness of our proposed method. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Nonlinear problem / Cellular Automata / Rainforcement Learning / Q-Learning |
Paper # | NLP2009-134 |
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Committee | NLP |
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Conference Date | 2009/12/14(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Registration To | Nonlinear Problems (NLP) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Synthesis of Desired Space-time Patterns based-on Reinforce Learning |
Sub Title (in English) | |
Keyword(1) | Nonlinear problem |
Keyword(2) | Cellular Automata |
Keyword(3) | Rainforcement Learning |
Keyword(4) | Q-Learning |
1st Author's Name | Yoshiaki HACHIYA |
1st Author's Affiliation | Tokyo City University() |
2nd Author's Name | Hidehiro NAKANO |
2nd Author's Affiliation | Tokyo City University |
3rd Author's Name | Arata MIYAUCHl |
3rd Author's Affiliation | Tokyo City University |
Date | 2009-12-21 |
Paper # | NLP2009-134 |
Volume (vol) | vol.109 |
Number (no) | 354 |
Page | pp.pp.- |
#Pages | 5 |
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