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Super-mario-bros-PPO-pytorch
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Super-mario-bros-PPO-pytorch

Proximal Policy Optimization (PPO) algorithm for Super Mario Bros

by vietnh1009 · GitHub
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aideep-learninggymMITPython
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Train a computer program to play Super Mario Bros and complete almost all levels.

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2026-07-202026-08-31
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Proximal Policy Optimization (PPO) algorithm for Super Mario Bros

Super-mario-bros-PPO-pytorch has 1.3k stars on GitHub. It has been forked 239 times. Super-mario-bros-PPO-pytorch is written mainly in Python. It has been in active development since 2019. Super-mario-bros-PPO-pytorch is available under the MIT license. Its main topics are ai, deep-learning, gym, mario.

Frequently asked questions

What is Super-mario-bros-PPO-pytorch?

Proximal Policy Optimization (PPO) algorithm for Super Mario Bros

Is Super-mario-bros-PPO-pytorch open source?

Super-mario-bros-PPO-pytorch is an open-source project. It is released under the MIT license.

Is Super-mario-bros-PPO-pytorch free?

Yes. Super-mario-bros-PPO-pytorch is free and open source — you can use, modify and self-host it.

What license does Super-mario-bros-PPO-pytorch use?

Super-mario-bros-PPO-pytorch is available under the MIT license.

What language is Super-mario-bros-PPO-pytorch written in?

Super-mario-bros-PPO-pytorch is written mainly in Python.

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