Where should RL post-training compute go? Model size, search, learning, and feedback
Read the original at arxiv.org→arXiv:2607.13389v1 Announce Type: new Abstract: Reinforcement Learning (RL) post-training is increasingly used to adapt foundation models for reasoning, planning, and feedback-driven robot-learning pipelines, but...
Original headline: "Where Should RL Post-Training Compute Go? Model Size, Search, Learning, and Feedback"