Presentation 2016-12-09
Reinforcement Learning using Filter and Coarse-Grained States in Multiagent Exploration Problems
Takahisa Yutoku, Ayumi Sugiyama, Toshiharu Sugawara,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English)
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Multi-agent / Distributed search / Q-learning / coarse-graining
Paper # AI2016-22
Date of Issue 2016-12-02 (AI)

Conference Information
Committee AI
Conference Date 2016/12/9(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Toshiharu Sugawara(Waseda Univ.)
Vice Chair Tsunenori Mine(Kyushu Univ.) / Daisuke Katagami(Tokyo Polytechnic Univ.)
Secretary Tsunenori Mine(Ritsumeikan Univ.) / Daisuke Katagami(Shizuoka Univ.)
Assistant Yuichi Sei(Univ. of Electro-Comm.)

Paper Information
Registration To Technical Committee on Artificial Intelligence and Knowledge-Based Processing
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Reinforcement Learning using Filter and Coarse-Grained States in Multiagent Exploration Problems
Sub Title (in English)
Keyword(1) Multi-agent
Keyword(2) Distributed search
Keyword(3) Q-learning
Keyword(4) coarse-graining
1st Author's Name Takahisa Yutoku
1st Author's Affiliation Waseda University(Waseda Univ.)
2nd Author's Name Ayumi Sugiyama
2nd Author's Affiliation Waseda University(Waseda Univ.)
3rd Author's Name Toshiharu Sugawara
3rd Author's Affiliation Waseda University(Waseda Univ.)
Date 2016-12-09
Paper # AI2016-22
Volume (vol) vol.116
Number (no) AI-350
Page pp.pp.55-60(AI),
#Pages 6
Date of Issue 2016-12-02 (AI)