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Committee Date Time Place Paper Title / Authors Abstract Paper #
IBISML 2016-11-17
14:00		 Kyoto Kyoto Univ. Approximate Value Iteration Algorithms for Partially Observable Markov Decision Processes in Geometric Dual Representation
Hiroshi Tsukahara, Mitsuru Anbai, Makoto Oobayashi (Denso IT Lab.) IBISML2016-71		 We propose new approximate algorithms for the value iteration of partially observable Markov decision
processes (POMDPs... [more]		 IBISML2016-71
pp.177-184
NC, IPSJ-BIO [detail] 2011-06-24
16:30		 Okinawa 50th Anniversary Memorial Hall, University of the Ryukyus Solving POMDPs using Restricted Boltzmann Machines with Echo State Networks
Makoto Otsuka, Junichiro Yoshimoto, Stefan Elfwing, Kenji Doya (OIST) NC2011-19		 A partially observable Markov decision process (POMDP) can be solved in a model-based way using explicit knowledge of th... [more] NC2011-19
pp.143-148
SP 2010-07-24
15:10		 Miyagi Ryokusui-tei (Sendai) Spoken Dialogue Manager in Car Navigation System Using Partially Observable Markov Decision Processes with Hierarchical Reinforcement Learning
Yasuhide Kishimoto, Tetsuya Takiguchi, Yasuo Ariki (Kobe Univ.) SP2010-43		 In this paper，we propose a dialogue manager in a car navigation systems using Partially Observable Markov Decision Proce... [more] SP2010-43
pp.49-54
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