AnalysisAI AgentsOctober 15, 2026

DeLoop uses agents' own rollouts to curb repetitive tool-use loops

Read original source →arxiv.org

DeLoop is a self-supervised preference optimization method that learns from an agent's own rollouts to cut repetitive tool-call loops, improving efficiency and success under context compression. The paper reports gains on CodeGym.

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