Contrastive Abstraction for Reinforcement Learning

Vihang Patil, Markus Hofmarcher, Elisabeth Rumetshofer +1

Learning agents with reinforcement learning is difficult when dealing with long trajectories that involve a large number of states. To address these learning problems effectively,…