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基本資料表

陳昱仁
(04)2359-0121 # 33911
陳昱仁

教師

專任師資
副教授
人工智慧 / 智慧機器人系統 / 機器學習 / 智慧物聯網應用

  1. Hwang, M., Jiang, W.-C., Chen, Y.-J. A critical state identification approach to inverse reinforcement learning for autonomous systems, International Journal of Machine Learning and Cybernetics, Vol.13, No.5, pp.14091423, 2022.

  2. Hwang, M., Chen, Y.-J., Ju, M.-Y., Jiang, W.-C. A fuzzy CMAC learning approach to image based visual servoing system, Information Sciences, No.576 pp.187203, 2021.

  3. Hwang, M., Jiang, W.-C., Chen, Y.-J., Hwang, K.-S., Tseng, Y.-C. An Efficient Unified Approach Using Demonstrations for Inverse Reinforcement Learning, IEEE Transactions on Cognitive and Developmental Systems, Vol.13, No.3 pp.444452, 2021.

  4. Liao, J.-C., Chen, S.-H., Zhuang, Z.-Y., Wu, B.-W., Chen, Y.-J. Designing and manufacturing of automatic robotic lawn mower, Processes, Vol.9, No.2, pp.122, 2021.

  5. Chen, Y.-J., Jiang, W.-C., Ju, M.-Y., Hwang, K.-S. Policy Sharing Using Aggregation Trees for Q-Learning in a Continuous State and Action Spaces, IEEE Transactions on Cognitive and Developmental Systems, Vol.12, No.3, pp.474485, 2020.

  6. Zhang, T., Liu, Y., Chen, Y.-J., Hwang, K.-S. Effective Experiences Collection and State Aggregation in Reinforcement Learning, IEEE Access, No.7, pp.120917120928, 2019.

  7. Hwang, K.-S., Jiang, W.-C., Chen, Y.-J., Hwang, I. Model Learning for Multistep Backward Prediction in Dyna-Q Learning, IEEE Transactions on Systems, Man, and Cybernetics: Systems, Vol.48, No.9, pp.14701481, 2018.

  8. Ju, M.-Y., Chen, Y.-J., Jiang, W.-C. Implementation of odometry with EKF in hector SLAM methods, International Journal of Automation and Smart Technology, Vol.8, No.1, pp.918, 2018.

  9. Hwang, K.-S., Jiang, W.-C., Chen, Y.-J., Shi, H. Motion Segmentation and Balancing for a Biped Robot's Imitation Learning, IEEE Transactions on Industrial Informatics, Vol.13, No.3, pp.10991108, 2017.

  10. Hwang, K.-S., Jiang, W.-C., Chen, Y.-J. Pheromone-based planning strategies in dyna-Q learning, IEEE Transactions on Industrial Informatics, Vol.13, No.2, pp.424435, 2017.

  11. Chen, Y.-J., Ju, M.-Y., Hwang, K.-S. A virtual torque-based approach to kinematic control of redundant manipulators, IEEE Transactions on Industrial Electronics, Vol.64, No.2, pp.17281736, 2017.

  12. Lin, J.-L., Hwang, K.-S., Jiang, W.-C., Chen, Y.-J. Gait Balance and Acceleration of a Biped Robot Based on Q-Learning, IEEE Access, No.4, pp.24392449, 2016.

  13. Hwang, K.-S., Chen, Y.-J., Jiang, W.-C. A Schema-Based DNA Algorithm Applicable on Graphics Processing Units, IEEE Access, No.4, pp.24982506, 2016.

  14. Hwang, K.-S., Jiang, W.-C., Chen, Y.-J. Model learning and knowledge sharing for a multiagent system with Dyna-Q learning, IEEE Transactions on Cybernetics, Vol.45, No.5, pp.978990, 2015.

  15. Hwang, K.-S., Jiang, W.-C., Chen, Y.-J. Adaptive model learning based on dyna-q learning, Cybernetics and Systems, Vol.44, No.8, pp.641662, 2013.
  16.  
    Chen,  Y.-J., Hwang, K.-S., Jiang, W.-C. Policy sharing between multiple mobile robots using decision trees, Information Sciences, No.234, pp.112120, 2013.

  17. Hwang, K.-S., Chen, Y.-J., Jiang, W.-C., Lin, T.-F. Continuous action generation of Q-learning in multi-agent cooperation, Asian Journal of Control, Vol.15, No.4, pp.10111020, 2013.

  1. 蔣惟丞、陳昱仁、謝崧允(2021.12)。CTM-Q學習於群體機器人合作。論文發表於TANET 2021臺灣網際網路研討會,東海大學:東海大學。

  2. wang, K.-S., Jiang, W.-C., Chen, Y.-J., Wang, W.-H., “Model-based indirect learning method based on dyna-Q architecture,”  Proceedings - 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013, pp.2540–2544, 2013.

  3. Hwang, K.-S., Jiang, W.-C., Chen, Y.-J., Wang, W.-H.,“ Reinforcement learning with model sharing for multi-agent systems,” ICSSE 2013 - IEEE International Conference on System Science and Engineering, Proceedings, pp.293–296, 2013.

 

學校名稱國別系所學位
國立中正大學台灣電機系博士
服務機關名稱單位職務期間
東海大學電機工程學系助理教授2021-02~迄今
中山大學電機系電機系2020-08~2021-01