activity
20132026
most citedGoal Space Abstraction in Hierarchical Reinforcement Learning via Set-Based Reachability Analysis

6 citations · 11 across the 9 of their papers we have counts for

collaborators
Showing 2024Show all

1 paper · 1 filter

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…