The authoritative textbook for reinforcement learning by Richard Sutton and Andrew Barto. Contents Preface Series Forward Summary of Notation I. The Problem 1. Introduction 1.1 Reinforcement Learning 1.2 Examples 1.3 Elements of Reinforcement Learni
Table of Contents: INTRODUCTION UNDERSTANDING REINFORCEMENT LEARNING THE ELEMENTS REINFORCEMENT LEARNING VS OTHER MACHINE LEARNING TYPES RLAPPLICATIONS THE SIMULATED ENVIRONMENT THE POLICY POLICY SEARCH Hardcoding a Simple Policy NEURAL NETWORK POLI
In this book, you will learn how to efficiently use TensorFlow, Google's open source framework for deep learning. You will implement different deep learning networks such as Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Dee
