FaST: Factored Synthesis of Transitions for Offline Reinforcement Learning
Read the original at arxiv.org→arXiv:2611.13013v1 Announce Type: new Abstract: Synthetic data augmentation promises to scale offline reinforcement learning beyond fixed logged datasets, but leading diffusion-based generators model the transition...
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- Nov 11, 05:00 UTC arXiv cs.LG lead source FaST: Factored Synthesis of Transitions for Offline Reinforcement Learning