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Where Should RL Post-Training Compute Go? Model Size, Search, Learning, and Feed

Reinforcement Learning (RL) post-training is increasingly used to adapt foundation models for reasoning, planning, and feedback-driven robot-learning pipelines, but constrained post-training resources are often summarized by a single total

https://arxiv.org/abs/2607.13389v1 ↗
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Patrick Wilhelm
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Odej Kao
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arXiv Where Should RL Post-Training Compute Go? Model Size, Search, Learning, and Feedback · based on signal ▸

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