教育背景
工作经历
项目课题经历
基于双向强化学习的复杂过程安全策略最优化研究
复杂动态系统数据驱动的强化学习控制研究
基于深度强化学习的高维度部分可观测过程的决策控制研究
高效沉淀池药剂精确投加系统
论文、成果、著作等
Tianheng Song, Dazi Li*, Liulin Cao, Kotaro Hirasawa, Kernel-based Least Squares Temporal Difference with Gradient Correction, IEEE Transactions on Neural Networks and Learning Systems, 2016, 27(4):771- 782.
Luntong Li, Dazi Li*, Tianheng Song, Xin Xu, Actor-Critic Learning Control based on L2-Regularized Temporal-difference Prediction with Gradient Correction, IEEE Transactions on Neural Networks and Learning Systems, 29(12): 5899-5909, December 2018
Dazi Li*, Yuting Wang, Tianheng Song, Qibing Jin, An Adaptive Policy Evaluation Network Based on Recursive Least Squares Temporal Difference with Gradient Correction, IEEE Access, 6: 7515-7525,2018.
Dazi Li*, Ze Wang, Wenlong Yu, Quanshan Li, Qibing Jin, Application of LADRC with stability region for a hydrotreating back-flushing process, Control Engineering Practice, 79(2018), 185-194, 2018.
Dazi Li*, Xiangyi Tian, Qibing Jin and Kotaro Hirasawa, Adaptive fractional-order total variation image restoration with split Bregman iteration, ISA Transactions, 82(2018): 210-222.
Tianheng Song, Dazi Li*, Weiming Yang, Kotaro Hirasawa, Recursive Least-Squares Temporal Difference with Gradient Corretion, IEEE Transactions on Cybernetics, 2019, Early Access Article. 2019 Mar 19. Doi:10.1109/TCYB.2019.2902342.
Luntong Li, Dazi Li*, Tianheng Song, Xin Xu, Actor-Critic Learning Control with Regularization and Feature Selection in Policy Gradient Estimation, IEEE Transactions on Neural Networks and Learning Systems,In press.
Tianheng Song, Dazi, Li*, Qibing Jin, Kotaro Hirasawa, Sparse Proximal Reinforcement Learning via Nested Optimization , IEEE Transactions on Systems, Man and Cybernetics: Systems, doi:10.1109/TSMC.2018.2865505.
Dazi Li*, Liming Wei, Tianheng Song, and Qibing Jin, Study on Asymptotic Stability of Fractional Singular System with Time Delay, International Journal of Control, Automation and Systems, 18(4), 2020, 1002-1011.
Tianheng Song, Dazi, Li*, Zhiyin Liu, and Weiming Yang, Online ADMM-Based Extreme Learning Machine for Sparse Supervised Learning, IEEE Access. 7: 64533-64544, 2019
专利、著作版权等
声明:本站专家信息来源于各高校官网。