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Committee Date Time Place Paper Title / Authors Abstract Paper #
MSS, CAS, IPSJ-AL [detail] 2023-11-16
16:30		 Okinawa   Deep Reinforcement Learning for Multi-Agent Systems with Temporal Logic Specifications
Keita Terashima, Koichi Kobayashi, Yuh Yamashita (Hokkaido Univ.) CAS2023-70 MSS2023-40		 In multi-agent systems, the challenge is how a group of agents collaborate to achieve a common goal. In our previous wor... [more] CAS2023-70 MSS2023-40
pp.54-58
RCC, ISEC, IT, WBS 2023-03-14
13:00		 Yamaguchi
(Primary: On-site, Secondary: Online)		 On Reward Distribution in Reinforcement Learning of Multi-Agent Surveillance Systems with Temporal Logic Specifications
Keita Terashima, Koichi Kobayashi, Yuh Yamashita (Hokkaido Univ.) IT2022-81 ISEC2022-60 WBS2022-78 RCC2022-78		 In multi-agent systems, it is important to design a reward distribution method based on the contribution of agents for e... [more] IT2022-81 ISEC2022-60 WBS2022-78 RCC2022-78
pp.86-90
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