TensorFlow Reinforcement Learning Quick Start Guide: Get up and running with training and deploying intelligent, self-learning agents using Python

Table of Contents

1. Up and Running with Reinforcement Learning
2. Temporal Difference, SARSA, and Q-Learning
3. Deep Q-Network
4. Double DQN, Dueling Architectures, and Rainbow
5. Deep Deterministic Policy Gradient
6. Asynchronous Methods - A3C and A2C
7. Trust Region Policy Optimization and Proximal Policy Optimization
8. Deep RL Applied to Autonomous Driving