An agent synthesis framework that enables models to learn from observations within trajectories to autonomously correct errors. Accepted to ICLR 2025, AgentRefine significantly improves agent generalization across diverse, held-out environments like SciWorld and AlfWorld.

Paper

arXiv: 2501.01702

agentictrainingresearch

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