cs.LG(2023-11-26)

📊 共 5 篇论文 | 🔗 1 篇有代码

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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 Optimally Teaching a Linear Behavior Cloning Agent 提出最优教学算法以提升线性行为克隆学习者的学习效率 behavior cloning
2 Generative Modelling of Stochastic Actions with Arbitrary Constraints in Reinforcement Learning 提出条件正态流以解决大规模离散动作空间中的强化学习问题 reinforcement learning
3 Concept Distillation: Leveraging Human-Centered Explanations for Model Improvement 提出概念蒸馏以减少模型偏差并提升可解释性 distillation
4 A Nearly Optimal and Low-Switching Algorithm for Reinforcement Learning with General Function Approximation 提出MQL-UCB算法以解决复杂模型下的强化学习问题 reinforcement learning

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

#题目一句话要点标签🔗
5 KOPPA: Improving Prompt-based Continual Learning with Key-Query Orthogonal Projection and Prototype-based One-Versus-All 提出KOPPA以解决持续学习中的特征迁移问题 large language model

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