deep-search-mcts-rlvr-training

【效率与协作】Overcome exploration bottlenecks in reasoning RL by integrating Monte Carlo Tree Search during training (not just inference). Global frontier selection and entropy-guided sampling reduce GPU hours by 5.7x while improving performance.

独立 GitHub 快照 · 自动分类 · 以原作者文档为准