MichaelFish199 / SonicTheHedgehog2-ReinforcmentLearning

This project implements an agent for playing the SonicTheHedgehog2 game from a ROM file using the Proximal Policy Optimization (PPO) algorithm from the stablebaselines3 library. The agent is trained to learn the optimal actions to take at each step in the game in order to complete the level and maximize the score.

SonicTheHedgehog2-ReinforcmentLearning

Creating agent that can play SonicTheHedgehog2 using PPO from stablebaselines3.

This repository contains:

• Environment_Setup.ipynb for creating environment
• Model_Parameter_Search.ipynb for searching best parameters for model
• Model_Training.ipynb for training model
• Model_Testing.ipynb for testing model
• Results are in ReadMe.md

Sonic_lvl0.mp4

Sonic_lvl1.mp4