ForkPilot: Self-Evolving Policy for Retrospective Search in Long-Horizon Agents
Interactive language-model agents increasingly solve complex tasks through long-horizon, multi-call reasoning, where errors in beliefs or actions can compound across tool interactions. Retrospective search can recover from such failures but is prone to misallocation. Delayed outcomes obscure the contribution of interme...
Xin-Yue Zeng, Shivam Shandilya, Guilherme Potje et al.
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