本人是上海科技大学计算机硕士研0,方向safe RL/offline RL。目前正在学习和研究RL-LLM。UCLA的Ernest Ryuk教授在2025夏天开展的《LLM与强化学习》课程我认为非常前沿和细致,值得仔细学习,课程总时长11小时,总结出此笔记。 笔记共包含三个章节:RL、LLM、RLHF。
Abstract: In recent years, reinforcement learning (RL) becomes a promising technique for solving combinatorial optimization (CO) problems. The advantage of RL for solving CO problems is its powerful ...
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Election-related letters to the editor can advocate for a candidate, ballot measure or political party and should explain why a candidate is most qualified. Personal or party attacks will not be ...