Wasserstein Adversarial Imitation Learning

Huang Xiao, Michael Herman, Joerg Wagner +3

Imitation Learning describes the problem of recovering an expert policy from demonstrations. While inverse reinforcement learning approaches are known to be very sample-efficient i…