18 citations · 24 across the 5 of their papers we have counts for
5 papers
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…
Safe Feedback Motion Planning in Unknown Environments: An Instantaneous Local Control Barrier Function Approach
Cong Li, Zengjie Zhang, Ahmed Nesrin +3
Mobile robots are desired with resilience to safely interact with prior-unknown environments and finally accomplish given tasks. This paper utilizes instantaneous local sensory dat…
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…
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…
Off-Policy Risk-Sensitive Reinforcement Learning Based Constrained Robust Optimal Control
Cong Li, Qingchen Liu, Zhehua Zhou +2
This paper proposes an off-policy risk-sensitive reinforcement learning based control framework for stabilization of a continuous-time nonlinear system that subjects to additive di…