cs.LG（2024-04-25）

📊 共 14 篇论文 | 🔗 1 篇有代码

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支柱二：RL算法与架构 (RL & Architecture) (8) 支柱九：具身大模型 (Embodied Foundation Models) (5 🔗1) 支柱一：机器人控制 (Robot Control) (1)

🔬 支柱二：RL算法与架构 (RL & Architecture) (8 篇)

#题目一句话要点标签🔗⭐
1 Offline Reinforcement Learning with Behavioral Supervisor Tuning 提出TD3-BST以解决离线强化学习中的超参数调优问题 reinforcement learning TD3 offline RL
2 Hippocrates: An Open-Source Framework for Advancing Large Language Models in Healthcare 提出Hippocrates框架以推动医疗领域的大型语言模型发展 reinforcement learning large language model
3 REBEL: Reinforcement Learning via Regressing Relative Rewards 提出REBEL算法以简化生成模型的强化学习优化问题 reinforcement learning PPO DPO
4 Reinforcement Learning with Generative Models for Compact Support Sets 提出基于生成模型的强化学习框架以优化小样本支持集 reinforcement learning foundation model
5 IDIL: Imitation Learning of Intent-Driven Expert Behavior 提出IDIL以解决专家行为模仿中的意图驱动问题 imitation learning
6 COCOLA: Coherence-Oriented Contrastive Learning of Musical Audio Representations 提出COCOLA以解决音乐音频表示的对比学习问题 contrastive learning
7 Model Extrapolation Expedites Alignment 提出ExPO方法以加速大语言模型的偏好对齐训练 DPO large language model
8 A Dual Perspective of Reinforcement Learning for Imposing Policy Constraints 提出双重视角强化学习以施加策略约束 reinforcement learning

🔬 支柱九：具身大模型 (Embodied Foundation Models) (5 篇)

#题目一句话要点标签🔗⭐
9 Continual Learning of Large Language Models: A Comprehensive Survey 综述大语言模型的持续学习以应对动态数据挑战 large language model ✅
10 Near to Mid-term Risks and Opportunities of Open-Source Generative AI 提出开放源代码生成AI的责任性管理以应对潜在风险 large language model
11 A Short Survey of Human Mobility Prediction in Epidemic Modeling from Transformers to LLMs 综述机器学习在流行病建模中人类移动预测的应用 large language model
12 Prediction Is All MoE Needs: Expert Load Distribution Goes from Fluctuating to Stabilizing 提出专家负载预测方法以解决MoE模型资源利用问题 large language model
13 How to Parameterize Asymmetric Quantization Ranges for Quantization-Aware Training 提出三种参数化方法以优化量化感知训练中的非对称量化范围 large language model

🔬 支柱一：机器人控制 (Robot Control) (1 篇)

#题目一句话要点标签🔗⭐
14 DrS: Learning Reusable Dense Rewards for Multi-Stage Tasks 提出DrS以解决多阶段任务中的稀疏奖励问题 manipulation

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