18 citations · 18 across the 3 of their papers we have counts for
3 papers
eess.SY2021
Data Informed Residual Reinforcement Learning for High-Dimensional Robotic Tracking Control
Cong Li, Fangzhou Liu, Yongchao Wang +1
The learning inefficiency of reinforcement learning (RL) from scratch hinders its practical application towards continuous robotic tracking control, especially for high-dimensional…
eess.SY2021★ 18 cited
Model-Free Incremental Adaptive Dynamic Programming Based Approximate Robust Optimal Regulation
Cong Li, Yongchao Wang, Fangzhou Liu +2
This paper presents a new formulation for model-free robust optimal regulation of continuous-time nonlinear systems. The proposed reinforcement learning based approach, referred to…
eess.SY2020
Off Policy Risk Sensitive Reinforcement Learning Based Optimal Tracking Control with Prescribe Performances
C. Li, Y. Wang, F. Liu +1
An off policy reinforcement learning based control strategy is developed for the optimal tracking control problem to achieve the prescribed performance of full states during the le…