Forward and inverse reinforcement learning sharing network weights and hyperparameters

Eiji Uchibe, Kenji Doya

This paper proposes model-free imitation learning named Entropy-Regularized Imitation Learning (ERIL) that minimizes the reverse Kullback-Leibler (KL) divergence. ERIL combines for…