Hierarchical Policy Learning is Sensitive to Goal Space Design

Zach Dwiel, Madhavun Candadai, Mariano Phielipp +1

Hierarchy in reinforcement learning agents allows for control at multiple time scales yielding improved sample efficiency, the ability to deal with long time horizons and transfera…