Build a Mario AI Model with Python - Gaming Reinforcement Learning

This course demonstrates how to connect Super Mario to Python, preprocess its game environment, and train a reinforcement learning model with the PPO algorithm. Learners then load the trained model and test its gameplay performance.

Syllabus

- Start
- Introduction
- Explainer
- Client Interview 1
- Animation 1
- Tutorial Start
- Setting Up Mario
- Running the Game
- Understanding the Mario State and Reward
- Client Interview 2
- Preprocessing the Environment
- Installing the RL Libraries
- Applying Grayscaling
- Applying Vectorization
- Applying Frame Stacking
- Client Conversation 3
- Animation 3
- Importing the PPO Algorithm
- Setting Up the Training Callback
- Creating a Mario PPO Model
- Training the Reinforcement Learning Model
- Client Conversation 4
- Animation 4
- Loading the PPO Model
- Using the AI Model
- Client Conversation 5
- Ending