cs.LG(2023-11-19)

📊 共 6 篇论文 | 🔗 1 篇有代码

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支柱二:RL算法与架构 (RL & Architecture) (4) 支柱九:具身大模型 (Embodied Foundation Models) (2 🔗1)

🔬 支柱二:RL算法与架构 (RL & Architecture) (4 篇)

#题目一句话要点标签🔗
1 Offline Reinforcement Learning for Wireless Network Optimization with Mixture Datasets 提出离线强化学习以优化无线网络资源管理问题 reinforcement learning offline RL offline reinforcement learning
2 Self-Distilled Representation Learning for Time Series 提出自蒸馏表征学习方法以提升时间序列分析 representation learning contrastive learning distillation
3 Multi-Task Reinforcement Learning with Mixture of Orthogonal Experts 提出混合正交专家模型以解决多任务强化学习问题 reinforcement learning representation learning
4 Robust Network Slicing: Multi-Agent Policies, Adversarial Attacks, and Defensive Strategies 提出多智能体深度强化学习框架以增强网络切片的鲁棒性 reinforcement learning deep reinforcement learning

🔬 支柱九:具身大模型 (Embodied Foundation Models) (2 篇)

#题目一句话要点标签🔗
5 Towards interpretable-by-design deep learning algorithms 提出IDEAL框架以解决深度学习模型可解释性问题 foundation model
6 FedRA: A Random Allocation Strategy for Federated Tuning to Unleash the Power of Heterogeneous Clients 提出FedRA以解决异构客户端的联邦调优问题 foundation model

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