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arxiv_cs_lg · Nov 6, 2026 · paper

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Adaptive Scheduling Pipeline for Multi-Instance Asynchronous Reinforcement Learning

arxiv.orgNov 6, 2026
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In brief

We present the Adaptive Scheduling Pipeline (ASP), an offline rollout scheduler for multi-instance asynchronous reinforcement learning (RL) of large language models (LLMs). ASP jointly reduces three sources of rollout underutilization - padding bubbles from intra-minibatch length

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Adaptive Scheduling Pipeline for Multi-Instance Asynchronous Reinforcement Learning

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