Ultimate Volleyball Machine Learning Micro-Course

In this micro-course, you'll learn how to train an AI to play volleyball using deep reinforcement learning.

What is covered:

• Introduction to reinforcement learning.
• Setting up and installing the project.
• Overview of agents, rewards, observations, hyperparameters.
• Step-by-step guide on training an agent using the PPO algorithm.
• Bonus section on competitive self-play.

What's in it:

• Link to step-by-step course content.
• Ultimate Volleyball Unity project zip folder.

Pre-requisites:

• Working knowledge of Python 3, including working from the command line, virtual environments, and installing packages.
• Free installation of Unity ML-Agents (step-by-step installation instructions are provided within the micro-course).

Recommended for: beginners to machine learning or reinforcement learning, who are interested in a fun, hands-on project.