cs.AI（2024-12-11）

📊 共 9 篇论文

🎯 兴趣领域导航

支柱九：具身大模型 (Embodied Foundation Models) (5) 支柱二：RL算法与架构 (RL & Architecture) (3) 支柱一：机器人控制 (Robot Control) (1)

🔬 支柱九：具身大模型 (Embodied Foundation Models) (5 篇)

#	题目	一句话要点	标签	🔗	⭐
1	A Multimodal Social Agent	MuSA：一种基于多模态LLM的社交智能体，用于自动化社交内容分析。	large language model multimodal
2	Large Language Models for Scholarly Ontology Generation: An Extensive Analysis in the Engineering Field	利用大型语言模型自动生成学术知识体系：工程领域的全面分析	large language model
3	Preference Discerning with LLM-Enhanced Generative Retrieval	提出Mender，利用LLM增强的生成式检索，解决序列推荐中动态偏好适应问题	large language model
4	Generative Agents for Multi-Agent Autoformalization of Interaction Scenarios	GAMA框架：利用生成式Agent自动形式化多Agent交互场景	large language model
5	SuperCode: Sustainability PER AI-driven CO-DEsign	提出SuperCode：一种AI驱动的协同设计方法，旨在为新兴硬件生成高效节能代码。	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	🔗	⭐
6	Sketch Decompositions for Classical Planning via Deep Reinforcement Learning	提出基于深度强化学习的规划草图分解方法，提升复杂规划问题的求解效率。	reinforcement learning deep reinforcement learning DRL
7	A quantum-classical reinforcement learning model to play Atari games	提出量子-经典混合强化学习模型，用于Atari游戏，性能与经典模型相当	reinforcement learning
8	MaestroMotif: Skill Design from Artificial Intelligence Feedback	MaestroMotif：利用AI反馈进行技能设计，提升智能体性能与适应性	reinforcement learning large language model

🔬 支柱一：机器人控制 (Robot Control) (1 篇)

#	题目	一句话要点	标签	🔗	⭐
9	More complex environments may be required to discover benefits of lifetime learning in evolving robots	复杂地形下，终身学习显著提升进化机器人的运动能力	locomotion

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