cs.AI(2025-07-20)
📊 共 10 篇论文 | 🔗 1 篇有代码
🎯 兴趣领域导航
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 |