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Exploring compact reinforcement-learning representations with linear regression

UAI '09 Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence, (2012): 591-598

被引用77|浏览18
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This paper presents a new algorithm for online linear regression whose efficiency guarantees satisfy the requirements of the KWIK (Knows What It Knows) framework. The algorithm improves on the complexity bounds of the current state-of-the-art procedure in this setting. We explore several applications of this algorithm for learning compact...更多

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