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News/TRACE: A Unified Rollout Budget Allocation Framework for Efficient Agentic Reinforcement Learning
arxiv
PublishedJune 10, 2026 at 4:00 AM
▲bullish

TRACE: A Unified Rollout Budget Allocation Framework for Efficient Agentic Reinforcement Learning

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Publisher summary· verbatim

arXiv:2606.11119v1 Announce Type: cross Abstract: Reinforcement learning with verifiable rewards (RLVR) is a promising approach for enhancing reasoning and agentic behavior in large language models. However, rollout-intensive policy optimization is often limited by insufficient reward contrast, aris

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Mentioned models
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    Qwen3-14B
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