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Committee Date Time Place Paper Title / Authors Abstract Paper #
SeMI 2022-01-21
09:40		 Nagano
(Primary: On-site, Secondary: Online)		 [Short Paper] Study of ACK-Less Rate Adaptation for IEEE 802.11bc Using Deep Reinforcement Learning
Takamochi Kanda (Kyoto Univ.), Yusuke Koda (Univ. of Oulu), Yuto Kihira, Koji Yamamoto (Kyoto Univ.), Takayuki Nishio (Kyoto Univ./Tokyo Tech.) SeMI2021-74		 This paper introduces an ACK-less rate adaptation to locational variation of recipient stations (STAs) for broadcast wir... [more] SeMI2021-74
pp.86-88
SRW, SeMI, CNR
(Joint)		 2020-11-26
16:00		 Online Online [Poster Presentation] Adversarial Reinforcement Learning-based Robust Access Point Coordination Against Uncoordinated Interference
Yuto Kihira, Yusuke Koda, Koji Yamamoto (Kyoto Univ.), Takayuki Nishio (Tokyo Tech.), Masahiro Morikura (Kyoto Univ.) SeMI2020-25		  [more] SeMI2020-25
pp.43-46
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