cs.LG（2024-01-21）

📊 共 10 篇论文

🎯 兴趣领域导航

支柱二：RL算法与架构 (RL & Architecture) (6) 支柱一：机器人控制 (Robot Control) (2) 支柱九：具身大模型 (Embodied Foundation Models) (1) 支柱六：视频提取与匹配 (Video Extraction) (1)

🔬 支柱二：RL算法与架构 (RL & Architecture) (6 篇)

#	题目	一句话要点	标签	🔗	⭐
1	MoMA: Model-based Mirror Ascent for Offline Reinforcement Learning	提出MoMA算法以解决离线强化学习中的模型限制问题	reinforcement learning offline RL offline reinforcement learning
2	Visual Imitation Learning with Calibrated Contrastive Representation	提出校准对比表示学习以解决视觉模仿学习中的挑战	imitation learning contrastive learning
3	Information-Theoretic State Variable Selection for Reinforcement Learning	提出转移熵冗余标准以优化强化学习状态变量选择	reinforcement learning PPO
4	Open the Black Box: Step-based Policy Updates for Temporally-Correlated Episodic Reinforcement Learning	提出TCE算法以解决时序相关的策略更新问题	reinforcement learning
5	Quantum Architecture Search with Unsupervised Representation Learning	提出无监督表示学习以优化量子架构搜索	representation learning
6	VQC-Based Reinforcement Learning with Data Re-uploading: Performance and Trainability	基于变分量子电路的强化学习方法提升训练性能	reinforcement learning

🔬 支柱一：机器人控制 (Robot Control) (2 篇)

#	题目	一句话要点	标签	🔗	⭐
7	Asynchronous Parallel Reinforcement Learning for Optimizing Propulsive Performance in Fin Ray Control	提出异步并行强化学习以优化鱼鳍控制的推进性能	locomotion reinforcement learning deep reinforcement learning
8	Solving Offline Reinforcement Learning with Decision Tree Regression	提出决策树回归方法以解决离线强化学习问题	locomotion manipulation reinforcement learning

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

#	题目	一句话要点	标签	🔗	⭐
9	Enhancing Recommendation Diversity by Re-ranking with Large Language Models	利用大语言模型进行推荐系统多样性重排序	large language model

🔬 支柱六：视频提取与匹配 (Video Extraction) (1 篇)

#	题目	一句话要点	标签	🔗	⭐
10	Continuous Field Reconstruction from Sparse Observations with Implicit Neural Networks	提出隐式神经网络以解决稀疏观测下的连续场重建问题	sparse sensors spatiotemporal

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