Author

Fan Zhang

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Jul 2026

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

DeepSearch-Evolve is presented, a self-distillation framework for web agents built on DeepSearch-World, a deterministic and verifiable environment with reproducible search and page-reading tools that enables scalable self-evolution for long-horizon web agents.

Xinyu Geng, Xuanhua He, Si-Xiang Chen et al. · arXiv.org · 1 citation

Jul 2026

SEED: Self-Evolving On-Policy Distillation for Agentic Reinforcement Learning

SEED (SElf-Evolving On-Policy Distillation), a self-evolving framework that converts completed on-policy trajectories into training-time hindsight skills and distills their behavioral effect back into the policy model, is proposed.

Jinyang Wu, Shuo Yang, Zhengxi Lu et al. · arXiv.org · 7 citations