Option-aware Temporally Abstracted Value for Offline Goal-Conditioned Reinforcement Learning

NeurIPSSpotlight2025

Authors
Hongjoon Ahn, Heewoong Choi, Jisu Han, Taesup Moon
Venue
NeurIPS 2025
Track
Spotlight

TL;DR

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 additiona…

Opening excerpt from the authors’ abstract. source

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Topics

reinforcement learning dataset

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