Shangqi Guo

Generating Adjacency-Constrained Subgoals in Hierarchical Reinforcement Learning.

2020 · neural information processing systems

Goal-conditioned hierarchical reinforcement learning (HRL) is a promising approach for scaling up reinforcement learning (RL) techniques. However, it often suffers from training inefficiency as the action space of the high-level, i.e., the goal space, is …