Robust Imitation Learning against Variations in Environment Dynamics

Jongseong Chae, Seungyul Han, Whiyoung Jung +3

In this paper, we propose a robust imitation learning (IL) framework that improves the robustness of IL when environment dynamics are perturbed. The existing IL framework trained i…