Author

Emre Kıcıman

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#artificial intelligence Preprint Oct 2026

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. · 0 citations

#artificial intelligence Preprint Sep 2026

Self-Designed Evaluators and Warm Memory for Long-Horizon Agents

SelfSuite is presented, in which the agent's own base model, given only the world's public materials, designs a small evaluation suite of weighted judges and grounded per-task briefs, freezes it, and uses it to gate a keep-best retry and to label a typed, outcome-tracked memory.

Saeid Asgari, Emre Kıcıman, Leonardo de Oliveira Nunes et al. · 0 citations