論文 - 倉重　健太郎

1. Effective Action Learning Method Using Information Entropy for a Single Robot Under Multi-Agent Control

   Yuma Uemura and Riku Narita and Kentarou Kurashige，Journal of Advanced Computational Intelligence and Intelligent Informatics，28巻，2号，(頁 273 ～ 283)，2024年03月

   

2. Self-Generating Evaluations for Robot's Autonomy Based on Sensor Input

   Yuma Sakamoto, Kentarou Kurashige，Machines，11巻，9号，(頁 892 ～ )，2023年09月

   

3. Self-Generation of Reward by Logarithmic Transformation of Multiple Sensor Evaluations

   Yuya Ono, Kentarou Kurashige, Afiqe Anuar Bin Muhammad Nor Hakim, Yuma Sakamoto，Artificial Life and Robotics，2023年02月

   

4. Proposal of Decision-Making Method Under Multi-Task Based on Q-Value Weighted by Task Priorit

   Tomomi Hanagata, Kentarou Kurashig，Journal of Advanced Computational Intelligence and Intelligent Informatics，26巻，5号，(頁 706 ～ 714)，2022年09月

   

5. Multi-Faceted Decision Making Using Multiple Reinforcement Learning to Reducing Wasteful Actions

   Riku Narita, Kentarou Kurashige，Journal of Advanced Computational Intelligence and Intelligent Informatics，26巻，4号，(頁 504 ～ 512)，2022年07月

   

6. 深層強化学習を用いた屋内移動ロボットの経路探索アルゴリズムの評価

   杉本 大志, 内田 龍之介, 倉重 健太郎, 都築 伸二，産業応用工学会論文誌，9巻，2号，(頁 118 ～ 124)，2021年09月

   

7. Embodiment matters: toward culture-specific robotized counselling

   Eriko Sakurai, Kentarou Kurashige Setsuo Tsuruta Yoshitaka Sakurai Rainer Knauf, Ernesto Damiani, Andrea Kutics, Fulvio Frati，Journal of Reliable Intelligent Environments，2020年06月

   

8. AN EXPERIMENTAL STUDY FOR TRACKING ABILITY OF DEEP Q-NETWORK

   Masashi SUGIMOTO, Ryunosuke UCHIDA, Kentarou KURASHIGE, Shinji TSUZUKI，International Journal of New Computer Architectures and their Applications，10巻，3号，(頁 32 ～ 38)，2020年03月

   

9. Development of Lifting System for High-Elevation Inspection Robot Targeting Hanger Ropes

   Yoshinori Fujihira, Naohiko Hanajima, Kentarou Kurashige, Hidekazu Kajiwara, Masato Mizukami，Journal of Robotics and Mechatronics，31巻，6号，(頁 803 ～ 815)，2019年12月

   

10. Development of Hanger-Rope Inspection Robot for Suspension Bridges

    Hidekazu Kajiwara, Naohiko Hanajima, Kentarou Kurashige, Yoshinori Fujihira，Journal of Robotics and Mechatronics，31巻，6号，(頁 855 ～ 862)，2019年12月

    

11. A Study and for Improvement and for Reinforcement and Learning based on Knowledge and Sharing Method -ADAPTABILITY TO A SITUATION OF INTERMINGLED OF COMPLETE AND INCOMPLETE PERCEPTION UNDER AN MAZE-

    Masashi SUGIMOTO, Hiroya YASHIRO, Kazuma NISHIMURA, Shinji TSUZUKI, Kentarou KURASHIGE，International Journal of New Computer Architectures and their Applications，9巻，2号，(頁 60 ～ 67)，2019年06月

    

12. Rough Control of Underactuated Serial-type Double Inverted Pendulum Using State-action Pair Prediction

    Masashi Sugimoto, Naoya Iwamoto, Robert W. Johnston, Keizo Kanazawa, Yukinori Misaki, Kentarou Kurashige，IEEJ Transactions on Electronics, Information and Systems，137巻，12号，(頁 1617 ～ 1624)，2017年12月

    

13. Dimensionality Reduction and for State-action and Pair Prediction and based on Tendency and of State and Action

    Masashi Sugimoto, Naoya Iwamoto, Robert W. Johnston, Keizo Kanazawa, Yukinori Misaki, Hiroyuki Inoue, Manabu Kato, Hitoshi Sori, Shiro Urushihara, Kazunori Hosotani, Hitoshi Yoshimura, Kentarou Kurashige，International Journal of New Computer Architectures and their Applications，7巻，1号，(頁 18 ～ 28)，2017年11月

    

14. A Study and of Predicting and Ability in and State-Action Pair and Prediction: and Adaptability to an Almost-Periodic and Disturbance

    Masashi Sugimoto, Naoya Iwamoto, Robert W. Johnston, Keizo Kanazawa, Yukinori Misaki, Kentarou Kurashige，International Journal of Artificial Life Research，7巻，1号，(頁 52 ～ 66)，2017年01月

    

15. Adaptability to Periodic Variable Disturbance using Probabilistic State-Action Pair Prediction

    Masashi Sugimoto, Naoya Iwamoto, Robert W. Johnston, Keizo Kanazawa, Yukinori Misaki, Kentarou Kurashige，International Journal of New Computer Architectures and their Applications，6巻，4号，(頁 122 ～ 131)，2016年12月

    

16. Decision Making Under Multi Task Based on Priority for Each Task

    Takuya Masaki, Kentarou Kurashige，International Journal of Artificial Life Research，6巻，2号，(頁 88 ～ 97)，2016年12月

    

17. 人間とロボットのインタラクションにおける感覚刺激に基づく報酬の自己生成

    倉重 健太郎, 二階堂 芳，知能と情報（日本知能情報ファジィ学会誌），27巻，5号，(頁 734 ～ 742)，2015年11月

    

18. A Study of Effective Prediction Methods of the State-Action Pair for Robot Control Using Online SVR

    Masashi SUGIMOTO, Kentarou KURASHIGE，Journal of Robotics and Mechatronics，27巻，5号，(頁 469 ～ 479)，2015年10月

    

19. Future Motion and Decisions using State-action and Pair Predictions

    Masashi SUGIMOTO, Kentarou KURASHIGE，International Journal of New Computer Architectures and their Applications，5巻，2号，(頁 79 ～ 93)，2015年10月

    

20. Self-Generation of Reward by Moderate-Based Index for Senor Inputs

    Kentarou Kurashige, Kaoru Nikaido，Journal of Robotics and Mechatronics，27巻，1号，(頁 57 ～ 63)，2015年