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News/AEM: Adaptive Entropy Modulation for Multi-Turn Agentic Reinforcement Learning
arxiv
PublishedMay 5, 2026 at 4:00 AM
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AEM: Adaptive Entropy Modulation for Multi-Turn Agentic Reinforcement Learning

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Publisher summary· verbatim

arXiv:2605.00425v1 Announce Type: new Abstract: Reinforcement learning (RL) has significantly advanced the ability of large language model (LLM) agents to interact with environments and solve multi-turn tasks. Yet effective training remains challenging, as sparse, outcome-only rewards make it diffic

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