SegBench-GC tests segmentation invariance in multi-step offline goal-conditioned reinforcement learning
Read the original at arxiv.org→arXiv:2608.27678v1 Announce Type: new Abstract: Offline goal-conditioned reinforcement learning (GCRL) often uses trajectory structure for future-goal sampling and multi-step targets, yet logged trajectories may be...
Original headline: "SegBench-GC: Testing Segmentation Invariance in Multi-Step Offline Goal-Conditioned Reinforcement Learning"
Coverage timeline
- Aug 31, 04:00 UTC arXiv cs.LG lead source SegBench-GC: Testing Segmentation Invariance in Multi-Step Offline Goal-Conditioned Reinforcement Learning