Goal Space Abstraction in Hierarchical Reinforcement Learning via Reachability Analysis

Mehdi Zadem, Sergio Mover, Sao Mai Nguyen

Open-ended learning benefits immensely from the use of symbolic methods for goal representation as they offer ways to structure knowledge for efficient and transferable learning. H…