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[2509.02522] Implicit Actor Critic Coupling via a Supervised Learning Framework for RLVR
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#ReinforcementLearning #LanguageModels #SupervisedLearning
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The article presents a novel framework called PACS, aimed at enhancing Reinforcement Learning with Verifiable Rewards (RLVR) for large language models (LLMs). It addresses significant challenges in existing RLVR methods, such as sparse reward signals and unstable policy gradient updates, by treating outcome rewards as predictable labels. PACS demonstrates superior performance on complex mathematical reasoning tasks, outperforming established RLVR baselines like PPO and GRPO, thus providing a promising solution for LLMs after training.
Like·Share·Reply·Oct 6th, 2025
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