Deep Reinforcement Learning with Python - Second Edition

Appendix 1 – Reinforcement Learning Algorithms

Let's have a look at all the reinforcement learning algorithms we have learned about in this book.

Reinforcement learning algorithm

The steps involved in a typical reinforcement learning algorithm are given as follows:

1. First, the agent interacts with the environment by performing an action.
2. The agent performs an action and moves from one state to another.
3. Then the agent will receive a reward based on the action it performed.
4. Based on the reward, the agent will understand whether the action is good or bad.
5. If the action was good, that is, if the agent received a positive reward, then the agent will prefer performing that action, else the agent will try performing other actions that can result ...