cs.LG（2025-09-03）

📊 共 5 篇论文

🎯 兴趣领域导航

#	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，解决带公共噪声的Mean-Field Games问题。	reinforcement learning deep reinforcement learning DRL
2	VendiRL: A Framework for Self-Supervised Reinforcement Learning of Diversely Diverse Skills	VendiRL：用于自监督强化学习多样化技能的框架	reinforcement learning
3	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

#	题目	一句话要点	标签	🔗	⭐
4	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
5	LimiX: Unleashing Structured-Data Modeling Capability for Generalist Intelligence	LimiX：释放结构化数据建模能力，迈向通用智能	foundation model