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This is a Deep-Q Learning [Stable Baseline] based AI Mario Game where the Model Incrementally Learns and Improves to Play the Game.

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Name		Name	Last commit message	Last commit date
Latest commit History 8 Commits
logs/PPO_1		logs/PPO_1
train		train
.gitignore		.gitignore
README.md		README.md
project.ipynb		project.ipynb
requirements.txt		requirements.txt

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AI-Mario-Game

1. Setup the Python Virtual Env

$ python -m venv venv
$ venv\Scripts\activate

2. Install Requirements

$ pip install setuptools==65.5.0 pip==21 wheel==0.38.0
$ pip install -r requirements.txt

3. Run the Python Notebooks

Run the code cells one by one to get the output
NOTE: The model training can take hours

Credits Nicholas Renotte

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This is a Deep-Q Learning [Stable Baseline] based AI Mario Game where the Model Incrementally Learns and Improves to Play the Game.

python deep-learning tensorboard mario-game ppo-pytorch

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Jupyter Notebook 100.0%