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Chao Qu

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#machine learning Preprint Oct 2026

COPC: Coupled Off-Policy Correction for Asynchronous LLM Reinforcement Learning

Asynchronous RL accelerates large language model post-training by decoupling rollout generation from optimization, but trains on stale trajectories. Existing methods primarily correct token-level policy mismatch through importance-ratio control in the actor objective. We show that this \emph{policy-side correction} alo...

Zi-Cheng Hu, Zhi-Jian Zhou, Xuan Zhang et al. · 0 citations
Preprint Aug 2026

Start Classifying: Categorical Critics for LLM Reinforcement Learning

Proximal Policy Optimization (PPO) for large language models typically trains its critic by mean-squared-error (MSE) regression on scalar value targets. Although scalar MSE is statistically valid for estimating the conditional expected return, sparse binary rewards in reinforcement learning with verifiable rewards (RLV...

Zhi-Jian Zhou, Long Li, Xuan Zhang et al. · 2 citations · ⚡2

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