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DeepSearch-World: Self-Distillation for Deep Search Agents in a Verifiable Environment

84 upvotes · 8 JUL 2026 · Xinyu Geng, Xuanhua He, Sixiang Chen et al.

This paper introduces a framework called DeepSearch-Evolve, which helps train self-improving web agents by iteratively refining their performance using their own experience. Practitioners might care because this approach can lead to more efficient and effective agents that can learn from their own mistakes.

web agentsself-distillationcontinual learningreinforcement learningverifiable environments