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Deep_reinforcement_learning_Course
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Deep_reinforcement_learning_Course

Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch

by simoninithomas · GitHub
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a2cactor-criticdeep-learningJupyter Notebook
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Learn and practice deep reinforcement learning by training AI agents in various environments using popular libraries.

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2026-07-072026-08-31
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📄 About

Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch

Deep_reinforcement_learning_Course has 3.9k stars on GitHub. It has been forked 1.2k times. Deep_reinforcement_learning_Course is written mainly in Jupyter Notebook. It has been in active development since 2018. Its main topics are a2c, actor-critic, deep-learning, deep-q-learning.

Frequently asked questions

What is Deep_reinforcement_learning_Course?

Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch

Is Deep_reinforcement_learning_Course open source?

Deep_reinforcement_learning_Course is an open-source project.

Is Deep_reinforcement_learning_Course free?

Yes. Deep_reinforcement_learning_Course is free and open source — you can use, modify and self-host it.

What language is Deep_reinforcement_learning_Course written in?

Deep_reinforcement_learning_Course is written mainly in Jupyter Notebook.

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