Hands-On Q-Learning with Python

Setting up an environment

For our first Q-learning implementation, we'll be solving the Taxi-v2 task. Let's go through how to get this project set up.

In the Taxi-v2 environment, your agent is a self-driving taxicab whose job it is to collect passengers from their locations and drop them off at their chosen destinations:

To perform this task optimally, the taxi must do the following:

• Find the passenger in the shortest time possible and pick the passenger up.
• Drive the passenger to their destination in the shortest time possible and drop the passenger off.

The taxi receives a reward of 20 points for reaching the correct destination and dropping ...