2025
Option-aware Temporally Abstracted Value for Offline Goal-Conditioned Reinforcement Learning
NeurIPS 2025spotlight
Offline goal-conditioned reinforcement learning (GCRL) offers a practical learning paradigm in which goal-reaching policies are trained from abundant state–action trajectory datasets without additional environment interaction. However, offline GCRL still struggles with long-horizon tasks, even with…