A machine-learning genetic algorithm built from the ground up using research from the University of Texas-Austin "Neural Evolution of Augmenting Topologies" capable of playing and completing a real Super Mario Bros 1-1 ROM utilizing a Nintendo Entertainment System emulator. This project has been awarded "Best Technical Skills" from the Department of Computer Science at Rutgers University on April 17, 2023.
- Methodology, "Neural Evolution of Augmenting Topologies"
- FCEUX64, the emulator that was used for the project
- Super Mario Bros RAM Map, information regarding how I retrieved data from the NES emulator
- YouTube Video Showcase, a video of me explaining how it works in 1 minute