Taxi-v3 Q-Learning

A simple Q-learning implementation in OpenAI Gym's "Taxi-v3" environment.

What is OpenAI Gym?

OpenAI Gym is a toolkit for developing and comparing reinforcement algorithms. It provides a wide range of environments with different reinforcement learning tasks.

It can be found on GitHub here and documentation is here.

Setup & Running the code.

Python 3 is required and can be downloaded here.

Installing required libraries.

pip3 install -r requirements.txt

Running the agent.

py agent.py

Possible Improvements

• Command line arguments to modify the amount of training episodes.
• Saving and loading the q-table.
• Tuning alpha, gamma and epsilon by decaying over training episodes.