Bayesian Disturbance Injection: Robust Imitation Learning of Flexible Policies

Hanbit Oh, Hikaru Sasaki, Brendan Michael +1

Scenarios requiring humans to choose from multiple seemingly optimal actions are commonplace, however standard imitation learning often fails to capture this behavior. Instead, an…