cs.LG（2024-04-05）

📊 共 9 篇论文 | 🔗 1 篇有代码

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支柱二：RL算法与架构 (RL & Architecture) (5 🔗1) 支柱九：具身大模型 (Embodied Foundation Models) (4)

🔬 支柱二：RL算法与架构 (RL & Architecture) (5 篇)

#题目一句话要点标签🔗⭐
1 Heterogeneous Multi-Agent Reinforcement Learning for Zero-Shot Scalable Collaboration 提出SHPPO框架以解决多角色动态协作问题 reinforcement learning PPO
2 Pixel-wise RL on Diffusion Models: Reinforcement Learning from Rich Feedback 提出像素级策略优化算法以解决稀疏奖励问题 reinforcement learning diffusion policy
3 Enhancing IoT Intelligence: A Transformer-based Reinforcement Learning Methodology 提出基于Transformer的强化学习方法以提升物联网智能决策能力 reinforcement learning PPO
4 Score identity Distillation: Exponentially Fast Distillation of Pretrained Diffusion Models for One-Step Generation 提出Score Identity Distillation以实现快速生成预训练扩散模型 distillation ✅
5 Demonstration Guided Multi-Objective Reinforcement Learning 提出示范引导的多目标强化学习以解决训练困难问题 reinforcement learning

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

#题目一句话要点标签🔗⭐
6 Prompt Public Large Language Models to Synthesize Data for Private On-device Applications 提出利用大型语言模型合成数据以改善私有设备应用的性能 large language model
7 Lossless and Near-Lossless Compression for Foundation Models 提出无损与近无损压缩方法以解决大模型存储与传输问题 foundation model
8 ROPO: Robust Preference Optimization for Large Language Models 提出ROPO框架以解决大语言模型偏好对噪声敏感的问题 large language model
9 Physics Event Classification Using Large Language Models 利用大型语言模型进行物理事件分类 large language model

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