cs.LG（2024-02-24）

📊 共 13 篇论文 | 🔗 1 篇有代码

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支柱二：RL算法与架构 (RL & Architecture) (7) 支柱九：具身大模型 (Embodied Foundation Models) (4 🔗1) 支柱三：空间感知与语义 (Perception & Semantics) (1) 支柱八：物理动画 (Physics-based Animation) (1)

🔬 支柱二：RL算法与架构 (RL & Architecture) (7 篇)

#题目一句话要点标签🔗⭐
1 Teacher-Student Learning on Complexity in Intelligent Routing 提出基于教师-学生学习的复杂性智能路由方法以提升客户服务效率 teacher-student
2 Scalable Volt-VAR Optimization using RLlib-IMPALA Framework: A Reinforcement Learning Approach 提出基于RLlib-IMPALA框架的可扩展Volt-VAR优化方法 reinforcement learning deep reinforcement learning DRL
3 Reward Design for Justifiable Sequential Decision-Making 提出基于辩论的奖励模型以增强决策的可辩护性 reinforcement learning reward design
4 A priori Estimates for Deep Residual Network in Continuous-time Reinforcement Learning 提出一种方法以解决连续时间强化学习中的泛化误差问题 reinforcement learning deep reinforcement learning
5 Debiased Model-based Interactive Recommendation 提出iDMIR以解决交互推荐中的偏差问题 world model world models contrastive learning
6 Overcoming Pitfalls in Graph Contrastive Learning Evaluation: Toward Comprehensive Benchmarks 提出改进评估框架以解决图对比学习的评估缺陷 contrastive learning
7 Is Offline Decision Making Possible with Only Few Samples? Reliable Decisions in Data-Starved Bandits via Trust Region Enhancement 提出TRUST算法以解决数据稀缺下的决策问题 reinforcement learning offline reinforcement learning

🔬 支柱九：具身大模型 (Embodied Foundation Models) (4 篇)

#题目一句话要点标签🔗⭐
8 Multimodal Sleep Apnea Detection with Missing or Noisy Modalities 提出多模态睡眠呼吸暂停检测方法以解决缺失或噪声问题 multimodal
9 Predicting Outcomes in Video Games with Long Short Term Memory Networks 提出基于LSTM的实时胜负预测方法以提升电子竞技观众参与度 large language model
10 PRoLoRA: Partial Rotation Empowers More Parameter-Efficient LoRA 提出PRoLoRA以解决大规模语言模型的参数效率问题 large language model
11 Sparse MeZO: Less Parameters for Better Performance in Zeroth-Order LLM Fine-Tuning 提出Sparse MeZO以提高零阶优化的性能和效率 large language model ✅

🔬 支柱三：空间感知与语义 (Perception & Semantics) (1 篇)

#题目一句话要点标签🔗⭐
12 A Generative Machine Learning Model for Material Microstructure 3D Reconstruction and Performance Evaluation 提出一种生成模型以解决材料微观结构3D重建问题 3D reconstruction

🔬 支柱八：物理动画 (Physics-based Animation) (1 篇)

#题目一句话要点标签🔗⭐
13 Deep Separable Spatiotemporal Learning for Fast Dynamic Cardiac MRI 提出深度可分离时空学习以解决快速动态心脏MRI重建问题 spatiotemporal

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