Presentation | 2004/3/9 An Approach to Bargaining Problem Through Multi-Agent Reinforcement Learning Akira ITO, Masafumi MIZUNO, Tatsuaki MATSUMOTO, Kazunori TERADA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Bargaining problem is how to find the contract point where the cooperation is preferable, but we must fight for the advantageous agreement. We approach bargaining problem from the multi agent learning standpoint. Each agent observes the opponent's behavior and tries to increase the expected interests by adjusting its own action appropriately. The cooperative solution is obtained through the pursuit of the self-interests of each agent. This method propose a new view for the meaning of the cooperative solution in bargaining problem. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | bargaining problem / multi agent / reinforcement learning / Q learning using history |
Paper # | AI2003-84 |
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Committee | AI |
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Conference Date | 2004/3/9(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 | 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) | An Approach to Bargaining Problem Through Multi-Agent Reinforcement Learning |
Sub Title (in English) | |
Keyword(1) | bargaining problem |
Keyword(2) | multi agent |
Keyword(3) | reinforcement learning |
Keyword(4) | Q learning using history |
1st Author's Name | Akira ITO |
1st Author's Affiliation | Faculty of Engineering, Gifu University() |
2nd Author's Name | Masafumi MIZUNO |
2nd Author's Affiliation | Faculty of Engineering, Gifu University |
3rd Author's Name | Tatsuaki MATSUMOTO |
3rd Author's Affiliation | Faculty of Engineering, Gifu University |
4th Author's Name | Kazunori TERADA |
4th Author's Affiliation | Faculty of Engineering, Gifu University |
Date | 2004/3/9 |
Paper # | AI2003-84 |
Volume (vol) | vol.103 |
Number (no) | 725 |
Page | pp.pp.- |
#Pages | 6 |
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