eess.SY(2024-06-17)

📊 共 4 篇论文

🎯 兴趣领域导航

支柱二:RL算法与架构 (RL & Architecture) (2) 支柱九:具身大模型 (Embodied Foundation Models) (1) 支柱四:生成式动作 (Generative Motion) (1)

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

#题目一句话要点标签🔗
1 Run Time Assured Reinforcement Learning for Six Degree-of-Freedom Spacecraft Inspection 提出基于运行时保障的强化学习方法,用于六自由度航天器安全巡检任务 reinforcement learning
2 Balancing Performance and Cost for Two-Hop Cooperative Communications: Stackelberg Game and Distributed Multi-Agent Reinforcement Learning 提出基于Stackelberg博弈和MARL的两跳协作通信性能成本平衡方案 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 A General Framework for Load Forecasting based on Pre-trained Large Language Model 提出基于预训练大语言模型的通用负荷预测框架,提升预测精度与泛化能力。 large language model

🔬 支柱四:生成式动作 (Generative Motion) (1 篇)

#题目一句话要点标签🔗
4 Leveraging Cooperative Connected Automated Vehicles for Mixed Traffic Safety 利用协同式网联自动驾驶车辆提升混合交通安全 penetration

⬅️ 返回 eess.SY 首页 · 🏠 返回主页