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Chin-Yew Lin

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#artificial intelligence Jun 2026

Evolving Agents in the Dark: Retrospective Harness Optimization via Self-Preference

Retrospective Harness Optimization is introduced, a self-supervised method that optimizes the agent harness using only past trajectories and alters the agent's behavior patterns and sustains higher accuracy during long-horizon sessions.

Wenbo Pan, Shujie Liu, Chin-Yew Lin et al. · arXiv.org · 8 citations · ⚡1