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Committee Date Time Place Paper Title / Authors Abstract Paper #
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
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
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