Reinforcement Learning with TensorFlow

What this book covers

Chapter 1, Deep Reinforcement – Architectures and Frameworks, covers the relevant and common deep learning architectures, basics of logistic regression, neural networks, RNN, LSTMs, and CNNs. We also cover an overview of reinforcement learning, the various technologies, frameworks, tools, and techniques, along with what has been achieved so far, the future, and various interesting applications.

 Chapter 2, Training Reinforcement Learning Agents Using OpenAI Gym, explains that OpenAI Gym is a toolkit for developing and comparing reinforcement learning algorithms. It supports teaching agents everything from walking to playing games such as Pong or Breakout. In this chapter, we learn how to use the OpenAI Gym framework ...