Presentation | 2022-09-16 Temporal Modeling of Players for Multi-agent Coordination in Non-Cooperative Game Junjie Zhong, Toshiharu Sugawara, |
---|---|
PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Multi-agent interaction structures that contain mixed cooperative-competitive relationships appear in many realistic situations. However, in multi-agent reinforcement learning, how agents recognize other agents and identify coordinated actions with limited information exchange is a challenging issue. We think that when temporal information including other agents' histories (such as their decisions and solutions) and distances from them is shared among agents through communications, all agents can have models of all other agents and thus obtain information necessary for determining coordinated actions through an asymmetric game process. Based on this consideration, our proposed method can mitigate the issue of non-stationarity and describe relationships between agents by setting non-cooperative objectives for the models of other agents to obtain better solutions. We then experimentally show that agents with our method could achieve better coordination and achieve more appropriate behavior than those with the method without communication and the method without modeling other agents. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | game theory / multi-agent reinforcement learning / modeling other agents |
Paper # | AI2022-26 |
Date of Issue | 2022-09-08 (AI) |
Conference Information | |
Committee | AI |
---|---|
Conference Date | 2022/9/15(2days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | |
Topics (in Japanese) | (See Japanese page) |
Topics (in English) | |
Chair | Yuichi Sei(Univ. of Electro-Comm.) |
Vice Chair | Yuko Sakurai(AIST) / Tadachika Ozono(Nagoya Inst. of Tech.) |
Secretary | Yuko Sakurai(Tokyo Univ. of Agriculture and Technology) / Tadachika Ozono(Toho Univ.) |
Assistant | Kazutaka Matsuzaki(Chuo Univ.) |
Paper Information | |
Registration To | Technical Committee on Artificial Intelligence and Knowledge-Based Processing |
---|---|
Language | ENG-JTITLE |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Temporal Modeling of Players for Multi-agent Coordination in Non-Cooperative Game |
Sub Title (in English) | |
Keyword(1) | game theory |
Keyword(2) | multi-agent reinforcement learning |
Keyword(3) | modeling other agents |
1st Author's Name | Junjie Zhong |
1st Author's Affiliation | Waseda University(Waseda Univ.) |
2nd Author's Name | Toshiharu Sugawara |
2nd Author's Affiliation | Waseda University(Waseda Univ.) |
Date | 2022-09-16 |
Paper # | AI2022-26 |
Volume (vol) | vol.122 |
Number (no) | AI-186 |
Page | pp.pp.48-53(AI), |
#Pages | 6 |
Date of Issue | 2022-09-08 (AI) |