Offline Hierarchical Reinforcement Learning via Inverse Optimization

Carolin Schmidt, Daniele Gammelli, James Harrison +2

Hierarchical policies enable strong performance in many sequential decision-making problems, such as those with high-dimensional action spaces, those requiring long-horizon plannin…