| 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 |
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| 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 |
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| 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 |
✅ |
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| 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 |
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