Robust Imitation Learning against Variations in Environment Dynamics

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 in a single environment can catastrophically fail with perturbations in environment dynamics because it does not capture...

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Hauptverfasser:	Chae, Jongseong, Han, Seungyul, Jung, Whiyoung, Cho, Myungsik, Choi, Sungho, Sung, Youngchul
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Artificial Intelligence Computer Science - Learning
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