Representation learning for hierarchical reinforcement learning 

Steccanella, Lorenzo (Date of defense: 2023-05-19)

Hierarchical Reinforcement Learning (HRL) has the potential to simplify the solution of environments with long horizons and sparse rewards. The idea behind HRL is to decompose a complex decision-making problem into ...