Build a Street Fighter AI Model with Python - Gaming Reinforcement Learning Full Course

Dive into the world of gaming AI with this comprehensive tutorial on building a Street Fighter AI model using Python and reinforcement learning techniques. Learn how to set up Gym Retro for playing Street Fighter, preprocess data, perform hyperparameter tuning with Optuna, and fine-tune game reinforcement learning models using Stable Baselines. Follow along with five practical missions, from initial setup to model testing, culminating in a final gameplay demonstration. Gain hands-on experience in applying AI to classic video games, with code available on GitHub for further exploration. Perfect for those interested in the intersection of gaming and machine learning, this tutorial offers step-by-step guidance and valuable insights into the process of creating AI-powered game agents.

- START
- MISSON1: Setting up Street Fighter
- MISSION2: Preprocessing
- MISSION3: Hyperparameter Tuning
- MISSION4: Fine Tuning the Model
- MISSION5: Testing the Model
- FINAL GAMEPLAY
- FEEDBACK