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News/SAPD: Learning from Agent Experience without Environment Interaction
arxiv
PublishedOctober 21, 2026 at 4:00 AM

SAPD: Learning from Agent Experience without Environment Interaction

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arXiv:2610.27847v1 Announce Type: new Abstract: Scaling the training of Large Language Model (LLM) agents typically requires a large collection of executable environments, whose construction, maintenance, and operation constrain the expansion of training experience. Existing offline trajectories off

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