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cs.LG2023
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…
cs.LG2023★ 6 cited
Goal Space Abstraction in Hierarchical Reinforcement Learning via Set-Based 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…