基本資料表
教師
● M. Hwang, W. C. Jiang*(蔣惟丞) and Y. J. Chen, “A Critical State Identification Approach to Inverse Reinforcement Learning for Autonomous Systems,” International Journal of Machine Learning and Cybernetics, vol. 13, pp. 1409-1423, May 2022.
●W. C. Jiang*(蔣惟丞), V. Narayanan and J. S. Li, “Model Learning and Knowledge Sharing for Cooperative Multi-agent Systems in Stochastic Environment,” IEEE Transactions on Cybernetics,vol. 51, no. 12, pp. 5717-5727, Dec. 2021.
● M. Hwang, Y. J. Chen, M. Y. Ju and W. C. Jiang*(蔣惟丞), “A Fuzzy CMAC Learning Approach to Image based Visual Servoing System,” Information Sciences, vol. 576, pp. 187-203, Oct. 2021.
● C. F. Chen*, K. W. Zhou, R. Y. Chen, H. Y. Tseng, Y. H. He, W. J. Li, and W. C. Jiang(蔣惟丞), “A Compact Quadruplexer-Integrated Filtering Power Divider,”IEEE Journal of Microwaves, vol. 1, no. 3, pp. 804-809, Jul. 2021.
● W. C. Jiang(蔣惟丞), K. S Hwang and J. L. Lin, “An Experience Replay Method based on Tree Structure for Reinforcement Learning,” IEEE Transactions on Emerging Topics in Computing, vol. 9, no. 2, pp. 972 - 982, Apr.-Jun. 2021.
● M. Hwang, W. C. Jiang(蔣惟丞), Y. J. Chen, K. S Hwang and Y. C. Tseng, “An Efficient Unified Approach using Demonstrations for Inverse Reinforcement Learning,” IEEE Transactions on Cognitive and Developmental Systems, vol. 13, no. 3, pp. 444-452, Sep. 2021.
● Y. J. Chen, W. C. Jiang(蔣惟丞), M. Y. Ju and K. S. Hwang, “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. 474-485, Sep. 2020.
● K. S. Hwang, W. C. Jiang(蔣惟丞), Y. J. Chen and I. Hwang, “Model Learning for Multi-step Backward Prediction in Dyna-Q Learning,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 48, no. 9, pp. 1470-1481, Sep. 2018.
● M. Y. Ju, Y. J. Chen and W. C. Jiang*(蔣惟丞), “Implementation of Odometry with EKF in Hector SLAM Methods,” International Journal of Automation and Smart Technology, vol. 8, no. 1, pp. 9-18, Mar. 2018.
● K. S. Hwang, W. C. Jiang(蔣惟丞), Y. J. Chen and H. Shi, “Motion Segmentation and Balancing for a Biped Robot’s Imitation Learning,” IEEE Transactions on Industrial Informatics, vol. 13, no. 3, pp. 1099-1108, Jun. 2017.
● K. S. Hwang, W. C. Jiang*(蔣惟丞) and Y. J. Chen, “Pheromone based Planning Strategies in Dyna-Q Learning,” IEEE Transactions on Industrial Informatics, vol. 13, no. 2, pp. 424-435, Apr. 2017.
● J. L. Lin, K. S. Hwang, W. C. Jiang(蔣惟丞) and Y. J. Chen, “Gait Balance and Acceleration of a Biped Robot based on Q-Learning,” IEEE Access, vol. 4, pp. 2169-3536, May 2016.
● K. S. Hwang, Y. J. Chen and W. C. Jiang(蔣惟丞), “A Schema-based DNA Algorithm Applicable on Graphics Processing Units,” IEEE Access, vol. 4, pp. 2169-3536, May 2016.
● K. S. Hwang, W. C. Jiang(蔣惟丞) and Y. J. Chen, “Model Learning and Knowledge Sharing for a Multiagent System With Dyna-Q Learning,” IEEE Transactions on Cybernetics, vol. 45, no 5, pp. 978-990, May. 2015.
● Y.-P. Hsu, and W. C. Jiang(蔣惟丞), “A Fast Learning Agent Based on the Dyna Architecture,” Journal of Information Science and Engineering, vol. 30, no 6, pp. 1807-1823, Nov. 2014.
● K. S. Hwang, W. C. Jiang(蔣惟丞) and Y. J. Chen, “Adaptive Model Learning Based on Dyna-Q Learning,” Cybernetics and Systems: An International Journal, vol. 44, no. 8, pp. 641-662, Sep. 2013.
● Y. J. Chen, K. S. Hwang and W. C. Jiang(蔣惟丞), “Policy Sharing between Multiple Mobile Robots using Decision Trees,” Information Sciences, vol. 234, no. 10, pp. 112-120, Jun. 2013.
● K. S. Hwang, Y. J. Chen, W. C. Jiang*(蔣惟丞) and T. F. Lin, “Continuous Action Generation of Q-learning in Multi-Agent Cooperation,” Asian Journal of Control, vol. 15, no. 4, pp. 1011-1020, Sep. 2013.
● K. S. Hwang, Y. J. Chen, W. C. Jiang(蔣惟丞) and C. W. Yang, “Induced States in a Decision Tree Constructed by Q-learning,” Information Sciences, vol. 213, no. 5, pp. 39-49, Dec. 2012.
● K. S. Hwang, W. C. Jiang(蔣惟丞), Y. H. Lin and L. H. Lai, “Continuous Q-learning for Multi-Agent Cooperation,” Cybernetics and Systems: An International Journal, vol. 43, no. 3, pp. 227-256, Mar. 2012.
● Z. J. Chen, Y. T. Wang, W. C. Jiang, and K. S. Hwang, “A Compensation Mechanism for Reinforcement Learning,” International conference on Advanced Robotics and Intelligent Systems (ARIS 2022), Ausgust, 2022.
● M. Hwang, J. L. Lin, K. S. Hwang, and W. C. Jiang, “Collaborative Reinforcement Learning Based on Attentive Consensus,” International conference on Advanced Robotics and Intelligent Systems (ARIS 2022), Ausgust, 2022.
● M. Hwang, W. C. Jiang, and K. S. Hwang, “Robot Dispatch by Reinforcement Learning with a Stacked Dual Network,” International Conference on System Science and Engineering(ICSSE 2022), May, 2022.
● M. Hwang, W. C. Jiang, and K. S. Hwang, “Model-Based Deep Reinforcement Learning, ”International Conference on System Science and Engineering(ICSSE 2022), May, 2022.
● 黃泓皓、蔣惟丞、黃國勝,“合作傾向模型於多代理人合作系統”,第九屆臺灣智慧型機器人研討會(NCAR 2021),台北,Ausgust, 2021。
● 羅暉棠、蔣惟丞、黃國勝,“基於模型學習之經驗重現於加強式學習”,第八屆臺灣智慧型機器人研討會 (NCAR 2020),台北,Ausgust, 2020 (獲得最佳學生論文第三名)。
● 羅暉棠、蔣惟丞、黃國勝,“物聯網於智慧居家系統之實現”,第八屆臺灣智慧型機器人研討會 (NCAR 2020),台北,Ausgust, 2020。
● K. S. Hwang, J. L. Lin, and W. C. Jiang, “Object Proximity Sensing based on 3D Point Cloud Segmentation,” International Conference on System Science and Engineering(ICSSE 2020), August, 2020.
學年度 | 計畫名稱 | 計畫期間 | 補助/委託或合作機構 |
111 | 強化學習整合行動合作機制於群體機器人 | 2022-08~2023-07 | 科技部 |
111 | 強化學習結合室內建圖於移動載具路徑規劃之應用(科技部大專學生研究計畫) | 2022-07~2023-02 | 科技部 |
110 | 相鄰狀態補償機制之模型學習於強化學習之研究 | 2021-08~2022-07 | 科技部 |
109 | 教育部智慧聯網技術課程推廣計畫-機器學習 | 2020-08~2021-06 | 教育部 |
109 | 群體機器人合作模型於加強式學習演算法之實現 | 2020-08~2021-10 | 科技部 |
108 | 隨機模型學習於多步經驗重現演算法於加強式學習之研究 | 2019-09~2020-08 | 科技部 |
105 | 加強式學習於群體機器人系統群體合作與知識分享之研究 | 2016-11~2017-07 | 科技部 |
學校名稱 | 國別 | 系所 | 學位 |
國立中正大學 | 台灣 | 電機工程學系 | 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 | 2019-02~迄今 |
美國聖路易斯華盛頓大學 | 電機與系統工程系 | 訪問學者 | 2017-09~2018-09 |
國立中山大學 | 電機工程學系 | 博士後研究員 | 2014-10~2017-08 |