Hierarchical Policy Search via Return-Weighted Density Estimation

Takayuki Osa, Masashi Sugiyama

Learning an optimal policy from a multi-modal reward function is a challenging problem in reinforcement learning (RL). Hierarchical RL (HRL) tackles this problem by learning a hier…