cs.LG（2024-03-16）

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

🔬 支柱二：RL算法与架构 (RL & Architecture) (4 篇)

#题目一句话要点标签🔗⭐
1 Dreaming of Many Worlds: Learning Contextual World Models Aids Zero-Shot Generalization 提出上下文递归状态空间模型以解决零-shot泛化问题 reinforcement learning world model world models ✅
2 Probabilistic World Modeling with Asymmetric Distance Measure 提出非对称距离度量的概率世界建模方法以解决规划与推理问题 world model world models representation learning
3 FlyKD: Graph Knowledge Distillation on the Fly with Curriculum Learning 提出FlyKD以解决知识蒸馏中的伪标签优化问题 curriculum learning distillation
4 Reinforcement Learning with Options and State Representation 提出层次化强化学习方法以应对高维复杂环境问题 reinforcement learning policy learning

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

#题目一句话要点标签🔗⭐
5 Integrating Wearable Sensor Data and Self-reported Diaries for Personalized Affect Forecasting 提出多模态深度学习模型以解决情感状态预测问题 multimodal

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