Author

Jiaqi Zhang

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Preprint Jul 2026

ODYSSE: Episode-wise Policy Optimization for Personalized Agentic Reasoning

ODYSSE is presented, a Reinforced Fine-Tuning (RFT) framework for personalized agentic reasoning designed to address long action horizons and strong cross-step dependencies in personalized agentic reasoning, and an episodic batch sampler that groups actions from the same episode into unified training batches, facilitating coherent optimization under ESPO.

Jiaqi Zhang, Tong Chen, Junliang Yu et al. · 0 citations