cs.LG(2024-03-23)

📊 共 4 篇论文

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支柱二:RL算法与架构 (RL & Architecture) (3) 支柱九:具身大模型 (Embodied Foundation Models) (1)

🔬 支柱二:RL算法与架构 (RL & Architecture) (3 篇)

#题目一句话要点标签🔗
1 Towards Identifiable Latent Additive Noise Models 提出可识别的潜在加性噪声模型以解决因果表示学习的局限性 representation learning human motion
2 Safe Reinforcement Learning for Constrained Markov Decision Processes with Stochastic Stopping Time 提出安全强化学习算法以解决约束马尔可夫决策过程中的安全问题 reinforcement learning
3 Deep Gaussian Covariance Network with Trajectory Sampling for Data-Efficient Policy Search 提出深高斯协方差网络与轨迹采样以提高数据效率的策略搜索 reinforcement learning world model world models

🔬 支柱九:具身大模型 (Embodied Foundation Models) (1 篇)

#题目一句话要点标签🔗
4 Fine Tuning LLM for Enterprise: Practical Guidelines and Recommendations 提出针对企业的LLM微调指南以解决知识嵌入问题 large language model

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