国際会議Proceedings - 倉重 健太郎

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

    Masashi Sugimoto, Kentarou Kurashige,Proc. of IWACIII2013 CD-ROM,(頁 SS1-2 ~ ),CD-ROM,2013年10月,Shanghai

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

    Hironori Miura, Kentarou Kurashige,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),CD-ROM,2013年04月,Singapore

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

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

  4. Estimate of currentstate based on experience in POMDP for Reinforcement Learning

    Yoshiki Miyazaki, Kentarou Kurashige,Proceedings of the seventeenth International Symposium on Artificial Life and Robotics (AROB 17th '12),(頁 1135 ~ 1138),2012年01月,Beppu, Japan

  5. Reduction of learningspace by making a choice of sensor information

    Yasutaka Kishima, Kentarou Kurashige, Toshinobu Numata,Proceedings of the seventeenth International Symposium on Artificial Life and Robotics (AROB 17th '12),(頁 971 ~ 974),2012年01月,Beppu, Japan

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

    Naoki Kitayama, Kentarou Kurashige,Proc. of IWACIII2011 CD-ROM,-巻,-号,(頁 GS1-3 ~ ),CD-ROM,2011年11月,Suzhou, China

  7. Suggestion of Probabilistic Reward-Independent Knowledge for Dynamic Environment in Reinforcement Learning

    Nodoka Shibuya, Yoshiki Miyazaki, Kentarou Kurashige,2011 Int. Symp. on Micro-NanoMechatronics and Human Science CD-ROM,-巻,-号,(頁 140 ~ 145),CD-ROM,2011年11月,Nagoya, Japan

  8. Use of reward - independent knowledge on reinforcementlearning for dynamic environment

    Yoshiki Miyazaki and Kentarou Kurashige,Proc. of the International Conference on Advanced Computer Science and Information Systems(ICACSIS 2010) pp.303-309, Bali, 20th - 23rd november2010,(頁 303 ~ 309),2010年11月,Bali, Indonesia

  9. THE GROWTH OF INDIVIDUAL INTELLIGENCE IN GROUPS OF AGENTS BYAUTONOMOUS SELECTION OF OTHERS TO COMMUNICATE TO

    Yasutaka Kishima, Kentarou Kurashige,WAC 2010,-巻,-号,(頁 IFMIP-545 ~ ),CD-ROM,2010年09月,Kobe, Japan

  10. Use of the knowledge which is independence on reward in Reinforcement Learning

    Yoshiki Miyazaki, Kentarou Kurashige,Proc. of International Symposium on Computational Intelligence in Robotics and Automation (CD-ROM),(頁 114 ~ 119),CD-ROM,2009年12月,Daejeon, Korea

  11. Growth ofindividual intelligence using communication

    Yasutaka Kishima, Kentarou Kurashige,SCIS&ISIS 2008(CD-ROM),-巻,-号,(頁 287 ~ 292),CD-ROM,2008年09月,Nagoya

  12. A RELATIONSHIP BETWEEN ABILITY OF PERCEPTION AND LEARNING EFFICIENCY

    Yukiko Onoue,Kentarou Kurashige,WAC 2008 Congress CD-ROM,-巻,-号,(頁 IFMIP-521 ~ ),CD-ROM,2008年09月,Hawaii

  13. The robot learning by using

    Kentarou Kurashige, Yukiko Onoue,Proceedings of International Symposium on Humanized Systems 2007,(頁 1 ~ 4),CD-ROM,2007年09月,Muroran

  14. A simple rule how to make a reward for learning with human interaction.

    Kentarou Kurashige,Proceedings of the 2007 IEEE International Symposium on Computational Intelligence in Robotics and Automation,(頁 202 ~ 205),2007年,Jacksonville, FLORIDA

  15. Control program structure of Humanoid Robot

    Shigeto Aramaki, Hiroshi Shirouzu, Kentarou Kurashige, Taketoshi Kinoshita,Proc.of Int. Conference of IEEE Industrial Electronics Society,-巻,-号,(頁 1796 ~ 1800),-,2002年11月,-

  16. Motion planning based on hierarchical knowledge for six legged locomotion robot

    K. Kurashige, T. Fukuda, H. Hoshino,Proc. of Int. Conf. on Systems, Man, and Cybernetics,IV巻,-号,(頁 924 ~ 929),-,1999年10月,Tokyo

  17. Motion planning based on hierarchical knowledge using Genetic Programming

    K. Kurashige,T. Fukuda, H. Hoshino,Proc. of Int. Conf. on Robotics and Automation,-巻,-号,(頁 2464 ~ 2469),-,1999年05月,Detroit

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