arxiv
PublishedOctober 2, 2026 at 4:00 AM
Do Better Goal Representations Improve Goal-Conditioned Reinforcement Learning?
Publisher summary· verbatim
arXiv:2609.39901v1 Announce Type: new Abstract: Goal-conditioned reinforcement learning (GCRL) relies heavily on how target goals are represented to the policy. While recent methods encode goals via temporal distance, occupancy, or controllability, it remains unclear how much downstream performance
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Originally published on arxiv ↗