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政策通用化的效果不变机制

Sorawit Saengkyongam1, Niklas Pfister2, Predrag Klasnja3

  • 1Seminar for Statistics, ETH Zürich, Zürich, Switzerland.

Journal of machine learning research : JMLR
|July 31, 2024
PubMed
概括

本研究引入了政策学习的效果不变性 (e-invariance),使模型能够适应新的任务. 这种方法可以在未见的环境中提高概括性,而不需要完全的分布不变性.

关键词:
有关因果关系的因果关系分布 泛化 一般化 分布域名适应 域名适应不变性 不变性 不变性政策学习学习政策学习

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