Unverified50% confidenceFactExact time
Stéphane Ross等人提出DAgger算法，通过训练中持续让学生模型产生新轨迹并请求教师标注来缓解行为克隆的分布偏移问题
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8/29/2026
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UnverifiedBehavioral cloning suffers from the covariate shift problem, and Ross et al. proposed the DAgger algorithm (Dataset Aggregation) to address this issue, allowing the learner to continuously query the expert during execution and expand the training set.78% similarUnverified模仿学习的经典算法包括行为克隆（Behavioral Cloning）和逆强化学习（IRL），DAgger是介于两者之间的折中方法73% similarUnverified自回归生成系统训练采用Teacher Forcing策略，推理阶段切换为自回归模式后产生分布偏移导致误差累积放大70% similarUnverified大模型中的参数在数学上是神经网络每条连接边上的权重数值和偏置值，训练前随机初始化，通过反向传播算法和梯度下降不断调整67% similarUnverified研究显示推理时计算的扩展律与训练时计算具有相似的效益曲线67% similar
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