Efficient Reinforcement Learning using Linear Koopman Dynamics for Nonlinear Robotic Systems

Wenjian Hao, Yuxuan Fang, Zehui Lu +1

This paper presents a model-based reinforcement learning (RL) framework for optimal closed-loop control of nonlinear robotic systems. The proposed approach learns linear lifted dyn…