学会等発表 - 倉重　健太郎

61. Effective action selection under multi task by ignoring tasks and limiting tasks

    Takuya Masaki, Kentarou Kurashige，World Automation Congress 2016 Japanese Satellite Session，IEEE SMC Society，Proceedings of World Automation Congress 2016，(頁 1-6)，2016年08月06日，Himeji，日本国

62. Nodding Behavioral Context Respectful Counseling Agent

    Yukiko Yamamoto, Tetsuo Shinozaki, Setsuo Tsuruta, Kentarou Kurashige, Rainer Knauf，World Automation Congress 2016 Japanese Satellite Session，IEEE SMC Society，Proceedings of World Automation Congress 2016，(頁 1-6)，2016年08月06日，Himeji，日本国

63. The Proposal for Compensation to the Action of Motion Control basedon the Prediction of State-action Pair

    Masashi Sugimoto, Kentarou Kurashige，International Conference on Electronics and Software Science，SDWIC，Proceedings of the International Conference on Electronics and Software Science，(頁 35-48)，2015年07月，Takamatsu，日本国

64. ActionLearning to single robot using MAS -A proposal of Agents action decision method based repeated consultation-

    Shuhei Chiba, Kentarou Kurashige，The 10th Asian Control Conference，Asian Control Association，Proceedings of the 10th Asian Control Conference(ASCC2015)，2015年05月，Kota Kinabalu，マレーシア

65. The Proposal for Real-time Sequential-decision for Optimal Action using Flexible-weight Coefficient based on the State-Action Pair

    Masashi Sugimoto,KentarouKurashige，2015 IEEE Congress on Evolutionary Computation，IEEE，2015 IEEE Congress on Evolutionary Computation，(頁 544-551)，2015年05月，Sendai，日本国

66. Teaching a series of actions by the universal evaluations of each sensory information

    Kentarou Kurashige, Kaoru Nikaido，2015 IEEE Congress on Evolutionary Computation，IEEE，2015 IEEE Congress on Evolutionary Computation，(頁 2341-2346)，2015年05月，Sendai，日本国

67. Self-generation of reward in reinforcement learning by universal rules of interaction with the external environment

    Kentarou Kurashige, Kaoru Nikaido，2014 IEEE Symposium Series on Computational Intelligence，IEEE，2014 IEEE Symposium on Robotic Intelligence in Informationally Structured Space Proceedings，(頁 92-97)，2014年12月，orlando, florida，アメリカ合衆国

68. Real-time Sequentially Decision for Optimal Action using Prediction of the State-Action Pair

    Masashi Sugimoto, Kentarou Kurashige，2014 International Symposium on Micro-NanoMechatronics and Human Science，IEEE，Proceedings of 2014 International Symposium on Micro-NanoMechatronics and Human Science，(頁 199-204)，2014年11月，Nagoya，日本国

69. MAS を用いた単体ロボットの行動学習-反復合議に基づくエージェントの意思決定法の提案-

    千葉秀平, 倉重健太郎，第32回日本ロボット学会学術講演会，日本ロボット学会，第32回日本ロボット学会学術講演会予稿集，(頁 RSJ2014AC3J2-01)，2014年09月，福岡・福岡

70. 外界とのインタラクションによる強化学習の報酬の自己生成

    二階堂芳, 倉重健太郎，第32回日本ロボット学会学術講演会，日本ロボット学会，第32回日本ロボット学会学術講演会予稿集，(頁 RSJ2014AC3J2-02)，2014年09月，福岡・福岡

71. Self-Generation of reward by moderate-based index in reinforcement learning'

    Kentarou Kurashige, Kaoru Nikaido，The International Workshop on Advanced Computational Intelligence and Intelligent Informatics 2014(IWACIII2014)，2014年02月，Fukui，日本国

72. Control of exploration and exploitation using information content'

    Nodoka Shibuya, Kentarou Kurashige，The Nineteenth International Symposium on Artificial Life and Robotics 2014 (AROB 19th 2014)，ISAROB，The Nineteenth International Symposium on Artificial Life and Robotics 2014 (AROB 19th 2014)，(頁 48-51)，2014年01月，Beppu，日本国

73. Self-Generation of Reward by Sensor Input in Reinforcement Learning

    Kaoru Nikaido, Kentarou Kurashige，2013 Second International Conference onRobot, Vision and Signal Processing，IEEE，2013 Second International Conference on Robot, Vision and Signal Processing，(頁 270-273)，2013年12月，Kitakyushu，日本国

74. The Proposal for Deciding Effective Action using Prediction of Internal Robot State Based on Internal State and Action

    Masashi Sugimoto, Kentarou Kurashige，International Symposium onMicro-NanoMechatronics and Human Science，IEEE，proceedings of International Symposium on Micro-NanoMechatronics and Human Science，(頁 221-226)，2013年11月，Nagoya，日本国

75. The Proposal for Prediction of Internal Robot State Based on Internal State and Action

    Masashi Sugimoto, Kentarou Kurashige，IWACIII2013，Japan SOciety for Fuzzy Theory and intelligent informatics (SOFT)，Proc. of IWACIII2013 CD-ROM，2013年10月，Shanghai，中華人民共和国

76. Proposal of learning method which selects objectives based on the state

    Hironori Miura, Kentarou Kurashige，2013 IEEE Workshop on Robotic Intelligence in Informationally StructuredSpace at2013 IEEE Symposium Series on Computational Intelligence(RiiSS at SSCI)，IEEE，Proceedings of 2013 IEEE Workshop on Robotic Intelligence in Informationally Structured Space at 2013 IEEE Symposium Series on Computational Intelligence(RiiSS at SSCI)，(頁 119-124)，2013年04月，Singapore，シンガポール共和国

77. Reduction of state space on reinforcement learning by sensor selection

    Yasutaka Kishima, Kentarou Kurashige，2012 International Symposium on Micro-NanoMechatronics and Human Science(MSH2012&Micro-Nano Global COE)，IEEE，Proceedings of 2012 International Symposium on Micro-NanoMechatronics and Human Science(MSH2012&Micro-Nano Global COE)，(頁 138-143)，2012年11月，Nagoya，日本国

78. Estimate of current state based on experience in POMDP for Reinforcement Learning

    Yoshiki Miyazaki, Kentarou Kurashige，the seventeenth InternationalSymposium on Artificial Life and Robotics，Organizing Committee of International Symposium on Artificial Life and Robotics，Proceedings ofthe seventeenth International Symposium on Artificial Life and Robotics，2012年01月，Beppu，日本国

79. Reduction of learning space by making a choice of sensor information

    Yasutaka Kishima, Kentarou Kurashige, Toshinobu Numata，the seventeenth International Symposiumon Artificial Life and Robotics，Organizing Committee of International Symposium on Artificial Life and Robotics，Proceedings of the seventeenth International Symposium on Artificial Life and Robotics，2012年01月，Beppu，日本国

80. Proposal of method "Motion Space" to express movement of the robot

    Naoki Kitayama, Kentarou Kurashige，IWACIII2011，Japan SOciety for Fuzzy Theory and intelligent informatics (SOFT)，Proc. of IWACIII2011 CD-ROM，2011年11月，Suzhou，中華人民共和国