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Committee Date Time Place Paper Title / Authors Abstract Paper #
AI 2020-12-11
10:20		 Shizuoka Online and HAMAMATSU ACT CITY
(Primary: On-site, Secondary: Online)		 A Preliminary Multi-Agent Reinforcement Learning Approach for Responding Dynamic Traffic in Communication Destination Anonymization
Keita Sugiyama, Naoki Fukuta (Shizuoka Univ.) AI2020-10		 In this paper, we describe our prototype mechanism using the simulation-based multi-agent reinforcement learning for aut... [more] AI2020-10
pp.46-51
MBE, NC
(Joint)		 2012-03-14
11:30		 Tokyo Tamagawa University Development of accurate estimation technique for absorption distribution by time-resolved measurement of backscattered light
Keita Sugiyama, Takeshi Namita, Yuji Kato, Koichi Shimizu (Hokkaido Univ.) MBE2011-113		 The absorption distribution along the depth direction in a turbid medium can be estimated in the time-resoloved measurem... [more] MBE2011-113
pp.25-30
NS, IN
(Joint)		 2007-03-08
12:30		 Okinawa Okinawa Convention Center A Study on Practical Implementation Issues of Diffusion-Type Flow Control for Multiple Flows
Tadashi Yamauchi (Tokyo Metropolitan Inst of Tech), Chisa Takano (NTT-AT), Keita Sugiyama, Masaki Aida (Tokyo Metropolitan Univ) IN2006-224		  [more] IN2006-224
pp.261-266
IN, NS
(Joint)		 2006-03-03
15:00		 Okinawa Rizzan Sea-Park Hotel Tancha-Bay (Okinawa) Parameter Design for Diffusion-Type Autonomous Decentralized Flow Control
Masaki Aida (Tokyo Metropolitan Univ.), Keita Sugiyama (Tokyo Metropolitan Institute of Tech.), Chisa Takano (NTT-AT) 		 [more] IN2005-200
pp.261-266
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