cs.LG(2024-01-04)

📊 共 9 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) (5) 支柱九:具身大模型 (Embodied Foundation Models) (3 🔗1) 支柱一:机器人控制 (Robot Control) (1)

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

#题目一句话要点标签🔗
1 A Survey Analyzing Generalization in Deep Reinforcement Learning 分析深度强化学习中的泛化能力以解决过拟合问题 reinforcement learning deep reinforcement learning large language model
2 Policy-regularized Offline Multi-objective Reinforcement Learning 提出离线多目标强化学习的政策正则化方法以解决偏好不一致问题 reinforcement learning offline RL
3 A Robust Quantile Huber Loss With Interpretable Parameter Adjustment In Distributional Reinforcement Learning 提出一种鲁棒的分位数Huber损失以解决分布式强化学习中的参数选择问题 reinforcement learning
4 Trajectory-Oriented Policy Optimization with Sparse Rewards 提出基于轨迹导向的策略优化以解决稀疏奖励问题 reinforcement learning deep reinforcement learning DRL
5 Balancing Continual Learning and Fine-tuning for Human Activity Recognition 提出CaSSLe与Kaizen模型以优化可穿戴设备的人体活动识别 representation learning contrastive learning

🔬 支柱九:具身大模型 (Embodied Foundation Models) (3 篇)

#题目一句话要点标签🔗
6 Data-Centric Foundation Models in Computational Healthcare: A Survey 调查数据中心基础模型以提升计算医疗中的数据质量与效率 foundation model
7 LLM Augmented LLMs: Expanding Capabilities through Composition 提出CALM以高效组合基础模型与特定模型 foundation model
8 Real-Time 2D Temperature Field Prediction in Metal Additive Manufacturing Using Physics-Informed Neural Networks 提出物理信息神经网络以解决金属增材制造中的温度场预测问题 TAMP

🔬 支柱一:机器人控制 (Robot Control) (1 篇)

#题目一句话要点标签🔗
9 Towards an Adaptable and Generalizable Optimization Engine in Decision and Control: A Meta Reinforcement Learning Approach 提出基于元强化学习的优化引擎以提升MPC控制器的适应性 MPC model predictive control reinforcement learning

⬅️ 返回 cs.LG 首页 · 🏠 返回主页