To delve deeper into the concepts explained in this chapter you can follow the following references:
- Practical Reinforcement Learning from Coursera: https://www.coursera.org/learn/practical-rl
- Welcome to Deep Reinforcement Learning Part 1: DQN https://towardsdatascience.com/welcome-to-deep-reinforcement-learning-part-1-dqn-c3cab4d41b6b
- Simple Reinforcement Learning with Tensorflow Part 0: Q-Learning with Tables and Neural Networks https://medium.com/emergent-future/simple-reinforcement-learning-with-tensorflow-part-0-q-learning-with-tables-and-neural-networks-d195264329d0
- Simple Reinforcement Learning with Tensorflow Part 4: Deep Q-Networks and Beyond https://medium.com/@awjuliani/simple-reinforcement-learning-with-tensorflow-part-4-deep-q-networks-and-beyond-8438a3e2b8df