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Agent Learning via Early Experience research paper by Meta, 2025

Meta · Oct 9, 2025 · Agents and evaluation · 64 citations · 256 upvotes · unverified

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What it shows

Early experience, using agent-generated interaction data without reward signals, improves policy effectiveness and generalization, serving as a bridge between imitation learning and reinforcement learning.

UnverifiedHugging Face's summary; not yet checked by hand.

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About this paper
Authors
Kai Zhang, Xiangchao Chen, Bo Liu and 27 more
arXiv
2510.08558 · PDF
Venue
arXiv.org
Citations
64, 3 influential · Semantic Scholar
Upvotes
256 · Hugging Face
Code
github.com/OSU-NLP-Group/EarlyExperience
Lab
Meta · on Companies · on Acquisitions · on Quarterly · on Paydays · on TechConf

Changes

What changed
Influential citationsfirst count: 3Sep 25, 2026
Citationsfirst count: 64Sep 25, 2026
New paperFound by the weekly scan, unverifiedSep 25, 2026

Sources: each lab's own papers and arXiv, with citation and upvote counts from Semantic Scholar and Hugging Face. One-line summaries are for orientation, not a substitute for the paper. Logos via logo.dev; trademarks belong to their owners.

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