cs.LG(2025-09-07)

📊 共 3 篇论文

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支柱二:RL算法与架构 (RL & Architecture) (2) 支柱九:具身大模型 (Embodied Foundation Models) (1)

🔬 支柱二:RL算法与架构 (RL & Architecture) (2 篇)

#题目一句话要点标签🔗
1 An efficient deep reinforcement learning environment for flexible job-shop scheduling 针对柔性作业车间调度,提出一种高效的深度强化学习环境。 reinforcement learning deep reinforcement learning DRL
2 Learning to Construct Knowledge through Sparse Reference Selection with Reinforcement Learning 提出基于强化学习的稀疏引用选择方法,用于知识构建。 reinforcement learning deep reinforcement learning

🔬 支柱九:具身大模型 (Embodied Foundation Models) (1 篇)

#题目一句话要点标签🔗
3 X-SQL: Expert Schema Linking and Understanding of Text-to-SQL with Multi-LLMs X-SQL通过多LLM协同,增强模式链接与理解,显著提升Text-to-SQL性能。 large language model

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