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New material on deep reinforcement learning, policy gradient methods, and the use of deep networks within the RL framework.
A dedicated chapter covering training, regularization, and the structure of deep neural networks, including Convolutional Neural Networks (CNNs) and Generative Adversarial Networks (GANs) . New material on deep reinforcement learning, policy gradient
This edition features substantial updates to reflect the rapid evolution of the field since the previous release: New material on deep reinforcement learning
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