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KnitTrans: Coordinated Trajectory Transfer for Effective and Efficient LLM Reinforcement Learning
Trajectory transfer from rollout to training affects both learning quality and system efficiency in large language model reinforcement learning (RL). Enforcing batch-wide training requirements can delay the admission of completed trajectories, resulting in higher architectural staleness: the additio
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