Robustifying Reinforcement Learning Policies with ${\mathcal{L}}_1$ Adaptive Control

Yikun Cheng, Pan Zhao, Manan Gandhi +3

A reinforcement learning (RL) policy trained in a nominal environment could fail in a new/perturbed environment due to the existence of dynamic variations. Existing robust methods…