Generalized Maximum Causal Entropy for Inverse Reinforcement Learning

Tien Mai, Kennard Chan, Patrick Jaillet

We consider the problem of learning from demonstrated trajectories with inverse reinforcement learning (IRL). Motivated by a limitation of the classical maximum entropy model in ca…