Deep Q-learning for playing tetris game
Simulate how neurons and networks of neurons behave in a virtual environment.
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytimeDeep Q-learning for playing tetris game
Tetris-deep-Q-learning-pytorch has 531 stars on GitHub. It has been forked 116 times. Tetris-deep-Q-learning-pytorch is written mainly in Python. It has been in active development since 2020. Tetris-deep-Q-learning-pytorch is available under the MIT license. Its main topics are cv2, deep-q-learning, deep-q-network, pytorch.
Deep Q-learning for playing tetris game
Tetris-deep-Q-learning-pytorch is an open-source project. It is released under the MIT license.
Yes. Tetris-deep-Q-learning-pytorch is free and open source — you can use, modify and self-host it.
Tetris-deep-Q-learning-pytorch is available under the MIT license.
Tetris-deep-Q-learning-pytorch is written mainly in Python.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/vietnh1009-tetris-deep-q-learning-pytorch.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.