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assets		assets
.gitignore		.gitignore
Pong.pth		Pong.pth
README.md		README.md
agent.py		agent.py
colabTrain.ipynb		colabTrain.ipynb
game.py		game.py
hand.py		hand.py
main.py		main.py
model.py		model.py
requirements.txt		requirements.txt

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Double-DQN for Pong

requirements:

torch==1.9.0
numpy==1.21.3
pygame==2.0.1
mediapipe==0.8.9
opencv-python==4.5.3.56

useful resources:

DQN-Paper Explained: https://www.youtube.com/watch?v=H1NRNGiS8YU
DQN-Paper: https://storage.googleapis.com/deepmind-media/dqn/DQNNaturePaper.pdf
Double-DQN Explained: https://www.youtube.com/watch?v=ILDLT97FsNM
Double-DQN Paper: https://arxiv.org/pdf/1509.06461.pdf
DQN in PyTorch: https://www.youtube.com/watch?v=NP8pXZdU-5U

About

Use the movements of your thumb to play Pong against a pre-trained Double-DQN-Agent. I used Google-Colab for training the pyTorch model and created the Pong environment with Pygame.

robertfoerster.com/

pong pytorch dqn atari dqn-pytorch

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