Reinforcement Learning: An Introduction
Richard S. Sutton · Andrew G. Barto · 2018 · MIT Press
This comprehensive text on reinforcement learning provides an in-depth exploration of key algorithms and concepts within the field, focusing on both theoretical foundations and practical applications. It covers a range of topics, including online learning algorithms, function approximation, and the intersection of reinforcement learning with psychology and neuroscience.
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