Hierarchical Reinforcement Learning with Advantage-Based Auxiliary Rewards

Siyuan Li, Rui Wang, Minxue Tang +1

Hierarchical Reinforcement Learning (HRL) is a promising approach to solving long-horizon problems with sparse and delayed rewards. Many existing HRL algorithms either use pre-trai…