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News/ReFlow: Replay-Driven Decoupling for Efficient RL Post-Training
arxiv
PublishedOctober 16, 2026 at 4:00 AM

ReFlow: Replay-Driven Decoupling for Efficient RL Post-Training

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arXiv:2610.21640v1 Announce Type: new Abstract: Reinforcement learning (RL) has been a critical paradigm for improving large language model (LLM) reasoning and agentic capabilities, but its efficiency remains a major bottleneck. Existing RL systems commonly rely on asynchronous execution to overlap

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