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SVL: Goal-Conditioned Reinforcement Learning as Survival Learning

arXiv:2604.17551v2 Announce Type: replace Abstract: Standard approaches to goal-conditioned reinforcement learning (GCRL) that rely on temporal-difference learning can be unstable and sample-inefficient due to bootstrapping. While recent work has explored contrastive and supervised formulations to improve stability, we present a probabilistic alternative, called survival value learning (SVL), that reframes GCRL as a survival learning problem by modeling the time-to-goal from each state as a...

arXiv CS 9d ago