cs.AI(2025-07-20)

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支柱二:RL算法与架构 (RL & Architecture) (5) 支柱九:具身大模型 (Embodied Foundation Models) (3 🔗1) 支柱一:机器人控制 (Robot Control) (2)

🔬 支柱二:RL算法与架构 (RL & Architecture) (5 篇)

#题目一句话要点标签🔗
1 AlphaAlign: Incentivizing Safety Alignment with Extremely Simplified Reinforcement Learning AlphaAlign:通过极简强化学习激励LLM安全对齐,提升安全性和实用性。 reinforcement learning reward design large language model
2 Learning Nonlinear Causal Reductions to Explain Reinforcement Learning Policies 提出非线性因果归约方法,解释强化学习策略的成败原因 reinforcement learning
3 Feedback-Induced Performance Decline in LLM-Based Decision-Making 研究表明,基于LLM的决策系统在复杂MDP环境中,反馈机制可能导致性能下降。 reinforcement learning large language model
4 AgentFly: Extensible and Scalable Reinforcement Learning for LM Agents AgentFly:用于LM Agent的可扩展强化学习框架,提升智能体自主完成任务能力。 reinforcement learning
5 From Kicking to Causality: Simulating Infant Agency Detection with a Robust Intrinsic Reward 提出基于因果推理的内在奖励CAIS,解决婴儿能动性模拟中传统强化学习的脆弱性问题。 reinforcement learning predictive model

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

#题目一句话要点标签🔗
6 InsightX Agent: An LMM-based Agentic Framework with Integrated Tools for Reliable X-ray NDT Analysis InsightX Agent:基于LMM的智能体框架,用于可靠的X射线无损检测分析 multimodal chain-of-thought
7 Survey of GenAI for Automotive Software Development: From Requirements to Executable Code 探索GenAI在汽车软件开发中的应用,涵盖需求、合规与代码生成 large language model
8 Redefining Elderly Care with Agentic AI: Challenges and Opportunities 探索Agentic AI在老年护理中的应用:机遇与挑战 large language model

🔬 支柱一:机器人控制 (Robot Control) (2 篇)

#题目一句话要点标签🔗
9 NavVI: A Telerobotic Simulation with Multimodal Feedback for Visually Impaired Navigation in Warehouse Environments NavVI:面向视障人士仓库环境导航的多模态遥操作仿真平台 teleoperation multimodal
10 Integrating Reason-Based Moral Decision-Making in the Reinforcement Learning Architecture 提出一种基于理由的强化学习道德决策框架,用于构建人工道德代理。 humanoid humanoid robot reinforcement learning

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