6 citations · 11 across the 9 of their papers we have counts for
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cs.LG2024
Reconciling Spatial and Temporal Abstractions for Goal Representation
Mehdi Zadem, Sergio Mover, Sao Mai Nguyen
Goal representation affects the performance of Hierarchical Reinforcement Learning (HRL) algorithms by decomposing the complex learning problem into easier subtasks. Recent studies…
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…