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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 8 of 8  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
AI 2018-07-02
13:00
Hokkaido   Similarity Estimation of Behavior with Position Information in Multi-Agent Continuous Cooperative Patrolling Problem
Ayumi Sugiyama, Sea Vourchteang, Toshiharu Sugawara (Waseda Univ.) AI2018-5
(To be available after the conference date) [more] AI2018-5
pp.23-28
AI 2017-11-24
11:20
Fukuoka   AI2017-9 (To be available after the conference date) [more] AI2017-9
pp.13-18
AI 2017-11-24
16:45
Fukuoka    [more]
AI 2016-12-09
16:40
Oita   Applying reinforcement learning to multi-agent patrolling with priority setting
Harunobu Ozeki, Ayumi Sugiyama, Toshiharu Sugawara (Waseda Univ.) AI2016-21
We propose a multi-agent patrolling method in an environment with priority. Cooperative behavior is required that a team... [more] AI2016-21
pp.49-54
AI 2016-12-09
17:05
Oita   Reinforcement Learning using Filter and Coarse-Grained States in Multiagent Exploration Problems
Takahisa Yutoku, Ayumi Sugiyama, Toshiharu Sugawara (Waseda Univ.) AI2016-22
(To be available after the conference date) [more] AI2016-22
pp.55-60
AI, JSAI-KBS, JSAI-DOCMAS, JSAI-SAI, IPSJ-ICS 2016-03-01
- 2016-03-04
Hokkaido   Efficient distributed search method using Q-learning in an environment with map
Takahisa Yutoku, Ayumi Sugiyama, Toshiharu Sugawara (waseda) AI2015-65
We propose a method for learning cooperative behavior efficiently in a multi-agent system running in an large environmen... [more] AI2015-65
pp.1-6
AI, JSAI-KBS, JSAI-DOCMAS, JSAI-SAI, IPSJ-ICS 2016-03-01
- 2016-03-04
Hokkaido   Decentralized area partitioning for a cooperative cleaning task with limited communication range
Yu Yoshimura, Ayumi Sugiyama, Toshiharu Sugawara (waseda) AI2015-66
This paper proposes a method for decentralized area partitioning for
coordination for cleaning in an environment in whi... [more]
AI2015-66
pp.7-12
AI 2014-06-19
11:00
Tokyo Waseda University Learning of Probability of Dust Accumulation without Communications for Multi-agent Continuous Cleaning
Ayumi Sugiyama, Toshiharu Sugawara (Waseda Univ.) AI2014-2
We have studied the strategy learning in multi-agent continuous cleaning task in which we assumed that agents knew the p... [more] AI2014-2
pp.7-12
 Results 1 - 8 of 8  /   
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