New material on deep reinforcement learning, policy gradient methods, and the use of deep networks within the RL framework.
The textbook is structured to provide a unified treatment of machine learning, drawing from statistics, pattern recognition, and artificial intelligence. New material on deep reinforcement learning, policy gradient
Expanded discussion on popular modern techniques like t-SNE . New material on deep reinforcement learning
A dedicated chapter covering training, regularization, and the structure of deep neural networks, including Convolutional Neural Networks (CNNs) and Generative Adversarial Networks (GANs) . policy gradient methods