cs.LG(2024-03-25)
📊 共 8 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) (3)
支柱九:具身大模型 (Embodied Foundation Models) (3)
支柱一:机器人控制 (Robot Control) (1)
支柱八:物理动画 (Physics-based Animation) (1 🔗1)
🔬 支柱二:RL算法与架构 (RL & Architecture) (3 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 1 | Offline Reinforcement Learning: Role of State Aggregation and Trajectory Data | 提出离线强化学习新方法以解决样本复杂性问题 | reinforcement learning offline reinforcement learning | ||
| 2 | Convergence of a model-free entropy-regularized inverse reinforcement learning algorithm | 提出无模型熵正则化逆强化学习算法以解决奖励恢复问题 | reinforcement learning inverse reinforcement learning | ||
| 3 | Exploring the potential of prototype-based soft-labels data distillation for imbalanced data classification | 提出基于原型的软标签数据蒸馏以解决数据不平衡问题 | distillation |
🔬 支柱九:具身大模型 (Embodied Foundation Models) (3 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 4 | Multimodal Physical Fitness Monitoring (PFM) Framework Based on TimeMAE-PFM in Wearable Scenarios | 提出多模态PFM框架以解决传统健康监测不足问题 | multimodal | ||
| 5 | To Err is Machine: Vulnerability Detection Challenges LLM Reasoning | 提出针对大语言模型的漏洞检测挑战与解决方案 | large language model | ||
| 6 | Do LLM Agents Have Regret? A Case Study in Online Learning and Games | 提出无监督的遗憾损失以提升LLM代理的决策性能 | large language model |
🔬 支柱一:机器人控制 (Robot Control) (1 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 7 | Bridging Privacy and Robustness for Trustworthy Machine Learning | 提出隐私与鲁棒性结合的方法以提升可信机器学习 | manipulation |
🔬 支柱八:物理动画 (Physics-based Animation) (1 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 8 | LSTTN: A Long-Short Term Transformer-based Spatio-temporal Neural Network for Traffic Flow Forecasting | 提出LSTTN以解决交通流预测中的长短期特征提取问题 | spatiotemporal | ✅ |