Preprint
Aug 2026
psRL: Efficient Training for Agentic AI via Training-Time Prefix Sharing
This paper proposes psRL (prefix sharing for RL), a new training system for agentic AI designed to exploit prefix redundancy among training samples, and introduces two novel prefix-sharing mechanisms that enable flexible, fine-grained workload distribution across GPU workers.
Mian-Jie Yu, Zizhao Mo, Huanyu Qu et al.
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