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Q-Learning: Mathematical Foundations and Applications provides an intermediate introduction to the world of Q-learning, a rudimentary yet extremely powerful machine learning algorithm with a wide variety of use cases. The book covers the mathematical foundations of Q-learning (statistics, probability, multivariable calculus), and uses those principles to build Q-learning from the ground up. Python tutorials for coding Q-learning and visual guides are included as well to enhance learning about this important topic!
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