Presentation | 2014-06-19 Learning of Probability of Dust Accumulation without Communications for Multi-agent Continuous Cleaning Ayumi SUGIYAMA, Toshiharu SUGAWARA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | We have studied the strategy learning in multi-agent continuous cleaning task in which we assumed that agents knew the probability of dust accumulation in environment, since we paid attention to autonomous strategy learning for coordination. However, in actual environments, agent cannot necessarily get the environmental information in advance. Therefore, we extended the previous method for the environment where agents do not know where are easy to get dirty, which is a part of environment information. The experimented results showed that agents could learn the probability of dust accumulation as well as the appropriate strategies, and in some cases, the performance with the proposed method outperformed the previous method even though some information is missing. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Multi-Agent System / Continuous Cleaning / Multi-Agent Patrolling Problem / Learning / Cooperation |
Paper # | AI2014-2 |
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Committee | AI |
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Conference Date | 2014/6/12(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) | Learning of Probability of Dust Accumulation without Communications for Multi-agent Continuous Cleaning |
Sub Title (in English) | |
Keyword(1) | Multi-Agent System |
Keyword(2) | Continuous Cleaning |
Keyword(3) | Multi-Agent Patrolling Problem |
Keyword(4) | Learning |
Keyword(5) | Cooperation |
1st Author's Name | Ayumi SUGIYAMA |
1st Author's Affiliation | Department of Computer Science and Communications Engineering, Waseda University() |
2nd Author's Name | Toshiharu SUGAWARA |
2nd Author's Affiliation | Department of Computer Science and Communications Engineering, Waseda University |
Date | 2014-06-19 |
Paper # | AI2014-2 |
Volume (vol) | vol.114 |
Number (no) | 89 |
Page | pp.pp.- |
#Pages | 6 |
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