2 papers
eess.SY2026
Gradient-Based Adaptive Prediction and Control for Nonlinear Dynamical Systems
Yujing Liu, Xin Zheng, Zhixin Liu +1
This paper investigates gradient-based adaptive prediction and control for nonlinear stochastic dynamical systems under a weak convexity condition on the prediction-based loss. Thi…
math.OC2025
Adaptive Inverse Reinforcement Learning with Online Off-Policy Data Collection
Yibei Li, Yuexin Cao, Zhixin Liu +1
In this paper, the inverse reinforcement learning (IRL) problem is addressed to reconstruct the unknown cost function underlying an observed optimal policy in a model-free manner,…