cs.LG(2024-12-10)
📊 共 5 篇论文 | 🔗 2 篇有代码
🎯 兴趣领域导航
支柱二:RL算法与架构 (RL & Architecture) (2 🔗1)
支柱四:生成式动作 (Generative Motion) (1)
支柱九:具身大模型 (Embodied Foundation Models) (1 🔗1)
支柱一:机器人控制 (Robot Control) (1)
🔬 支柱二:RL算法与架构 (RL & Architecture) (2 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 1 | MAPLE: A Framework for Active Preference Learning Guided by Large Language Models | MAPLE:基于大语言模型的主动偏好学习框架,提升样本效率和查询质量 | preference learning large language model language conditioned | ||
| 2 | Meta-Controller: Few-Shot Imitation of Unseen Embodiments and Tasks in Continuous Control | 提出Meta-Controller以解决机器人任务与形态的少样本模仿问题 | policy learning imitation learning behavior cloning | ✅ |
🔬 支柱四:生成式动作 (Generative Motion) (1 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 3 | A Review of Human Emotion Synthesis Based on Generative Technology | 综述性论文:基于生成技术的表情合成研究进展与未来方向 | motion synthesis large language model |
🔬 支柱九:具身大模型 (Embodied Foundation Models) (1 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 4 | Bridging the Gap for Test-Time Multimodal Sentiment Analysis | 提出CASP框架,用于解决测试时多模态情感分析中的分布偏移问题 | multimodal | ✅ |
🔬 支柱一:机器人控制 (Robot Control) (1 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 5 | Contractive Dynamical Imitation Policies for Efficient Out-of-Sample Recovery | 提出基于Contractive Dynamical Systems的模仿学习策略,提升OOS泛化能力。 | manipulation imitation learning |