Table of Contents
Preface
Chapter 1: Developing Building Blocks for Deep Reinforcement Learning Using Tensorflow 2.x
Technical requirements
Building an environment and reward mechanism for training RL agents
Getting ready
How to do it…
How it works…
Implementing neural network-based RL policies for discrete action spaces and decision-making problems
Getting ready
How to do it…
How it works…
Implementing neural network-based RL policies for continuous action spaces and continuous-control problems
Getting ready
How to do it…
How it works…
Working with OpenAI Gym for RL training environments
Getting ready
How to do it…
How it works…
See also
Building a neural agent
Getting ready
How to do it…
How it works…
Building a neural evolutionary agent
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