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News/Revisiting Entropy Regularization: Adaptive Coefficient Unlocks Its Potential for LLM Reinforcement Learning
arxiv
PublishedApril 21, 2026 at 4:00 AM
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Revisiting Entropy Regularization: Adaptive Coefficient Unlocks Its Potential for LLM Reinforcement Learning

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Publisher summary· verbatim

arXiv:2510.10959v3 Announce Type: replace-cross Abstract: Reasoning ability has become a defining capability of Large Language Models (LLMs), with Reinforcement Learning with Verifiable Rewards (RLVR) emerging as a key paradigm to enhance it. However, RLVR training often suffers from policy entropy

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Mentioned models
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    Large Language Models (LLMs)
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Read original ↗All from arxiv →
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#machine-learning#reasoning#reinforcement-learning#regularization

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