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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
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Committee Date Time Place Paper Title / Authors Abstract Paper #
CS 2015-11-13
10:50
Hokkaido Hotel Taisetsu (Sounkyo Spa, Hokkaido) A consideration on performance evaluation of linear/rectangular array LOS-MIMO systems
Toshihisa Yamada, Daisuke Umehara, Kouichiro Wakasugi (KIT), Takanori Iwamatsu (FUJITSU WIRELESS SYSTEMS) CS2015-55
LOS-MIMO (Line Of Sight - Multiple-Input Multiple-Output) systems can increase a channel capacity without increasing the... [more] CS2015-55
pp.59-64
NC, MBE
(Joint)
2011-03-07
16:50
Tokyo Tamagawa University Reinforcement learning with Multiple actions
Hayato Nakama, Satoshi Yamada (Okayama Univ. Sci.) NC2010-155
The multiple action consists of a group of primitive actions and the termination conditions. In this study, the RL with ... [more] NC2010-155
pp.165-170
NC, MBE
(Joint)
2011-03-07
17:15
Tokyo Tamagawa University Spatial representation in reinforcement learning
Tsubasa Asano, Satoshi Yamada (Okayama Univ. Sci.) NC2010-156
It is important to use appropriate spatial representations in the reinforcement learning. Since Incremental Normalized G... [more] NC2010-156
pp.171-176
NC, MBE
(Joint)
2009-03-13
11:10
Tokyo Tamagawa Univ. Reinforcement learning to control the pneumatic artificial muscle
Kazutaka Shimizu, Satoshi Yamada (Okayama Univ. of Sci.) NC2008-153
We applied reinforcement learning (Q-learning) to the control of pneumatic artificial muscle. The trained control of sin... [more] NC2008-153
pp.297-300
NC, MBE
(Joint)
2009-03-13
11:35
Tokyo Tamagawa Univ. Application of modular reinforcement learning to the control of robot having three different sensors
Hayato Nakama, Naoki Tanaka, Satoshi Yamada (Okayama Univ. of Sci.) NC2008-154
We apply modular reinforcement learning to the control of robot having three different sensors. The modular reinforcemen... [more] NC2008-154
pp.301-306
 Results 1 - 5 of 5  /   
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