cs.AI（2023-11-07）

📊 共 8 篇论文

🎯 兴趣领域导航

支柱九：具身大模型 (Embodied Foundation Models) (3) 支柱二：RL算法与架构 (RL & Architecture) (3) 支柱一：机器人控制 (Robot Control) (1) 支柱三：空间感知与语义 (Perception & Semantics) (1)

🔬 支柱九：具身大模型 (Embodied Foundation Models) (3 篇)

#	题目	一句话要点	标签	🔗	⭐
1	Leveraging Large Language Models for Automated Proof Synthesis in Rust	利用大型语言模型实现Rust代码的自动化证明合成	large language model
2	AI for All: Operationalising Diversity and Inclusion Requirements for AI Systems	提出多样性与包容性需求捕捉方法以解决AI系统偏见问题	large language model
3	Identifying and Mitigating Vulnerabilities in LLM-Integrated Applications	提出识别与缓解LLM集成应用漏洞的方法	large language model

🔬 支柱二：RL算法与架构 (RL & Architecture) (3 篇)

#	题目	一句话要点	标签	🔗	⭐
4	Everything of Thoughts: Defying the Law of Penrose Triangle for Thought Generation	提出Everything of Thoughts以解决思维生成的效率与灵活性问题	reinforcement learning large language model
5	Hypothesis Network Planned Exploration for Rapid Meta-Reinforcement Learning Adaptation	提出HyPE以解决Meta-RL快速适应问题	reinforcement learning
6	A Method to Improve the Performance of Reinforcement Learning Based on the Y Operator for a Class of Stochastic Differential Equation-Based Child-Mother Systems	提出Y算子以提升基于强化学习的随机微分方程控制性能	reinforcement learning

🔬 支柱一：机器人控制 (Robot Control) (1 篇)

#	题目	一句话要点	标签	🔗	⭐
7	Scene-Driven Multimodal Knowledge Graph Construction for Embodied AI	提出场景驱动的多模态知识图谱构建方法以解决机器人智能不足问题	manipulation embodied AI large language model

🔬 支柱三：空间感知与语义 (Perception & Semantics) (1 篇)

#	题目	一句话要点	标签	🔗	⭐
8	Understanding Tool Discovery and Tool Innovation Using Active Inference	提出工具发现与创新的主动推理模型以解决机器人工具发明问题	affordance

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