cs.LG(2025-09-03)

📊 共 11 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) (6) 支柱九:具身大模型 (Embodied Foundation Models) (5 🔗1)

🔬 支柱二:RL算法与架构 (RL & Architecture) (6 篇)

#题目一句话要点标签🔗
1 Population-aware Online Mirror Descent for Mean-Field Games with Common Noise by Deep Reinforcement Learning 提出基于深度强化学习的Population-aware Online Mirror Descent算法,解决带共同噪声的Mean-Field Games问题。 reinforcement learning deep reinforcement learning DRL
2 AutoGrid AI: Deep Reinforcement Learning Framework for Autonomous Microgrid Management 提出基于深度强化学习的微电网自治管理框架,优化能源调度。 reinforcement learning deep reinforcement learning PPO
3 A Comprehensive Review of Multi-Agent Reinforcement Learning in Video Games 综述多智能体强化学习在视频游戏中的应用与挑战 reinforcement learning deep reinforcement learning
4 SharedRep-RLHF: A Shared Representation Approach to RLHF with Diverse Preferences 提出SharedRep-RLHF,利用共享表征提升RLHF在多偏好场景下的性能 reinforcement learning RLHF
5 VendiRL: A Framework for Self-Supervised Reinforcement Learning of Diversely Diverse Skills 提出VendiRL框架以解决自监督强化学习中的技能多样性问题 reinforcement learning
6 A Service-Oriented Adaptive Hierarchical Incentive Mechanism for Federated Learning 提出面向服务的自适应分层激励机制,解决联邦学习中数据匮乏问题。 reinforcement learning deep reinforcement learning DRL

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

#题目一句话要点标签🔗
7 Robult: Leveraging Redundancy and Modality Specific Features for Robust Multimodal Learning Robult:利用冗余性和模态特定特征实现鲁棒的多模态学习 multimodal
8 Hierarchical Federated Foundation Models over Wireless Networks for Multi-Modal Multi-Task Intelligence: Integration of Edge Learning with D2D/P2P-Enabled Fog Learning Architectures 提出层次化联邦基础模型以解决多模态多任务智能问题 foundation model
9 CEHR-XGPT: A Scalable Multi-Task Foundation Model for Electronic Health Records CEHR-XGPT:用于电子病历的可扩展多任务基础模型 foundation model
10 Differentiable Entropy Regularization: A Complexity-Aware Approach for Neural Optimization 提出可微熵正则化方法,通过降低表征复杂度提升神经网络效率与鲁棒性 large language model
11 LimiX: Unleashing Structured-Data Modeling Capability for Generalist Intelligence LimiX:释放结构化数据建模能力,赋能通用智能 foundation model

⬅️ 返回 cs.LG 首页 · 🏠 返回主页