Hands-On-Reinforcement-Learning-With-Python
Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow
Learn and practice various reinforcement learning techniques through interactive examples and exercises.
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Hands-On-Reinforcement-Learning-With-Python has 860 stars on GitHub. It has been forked 323 times. Hands-On-Reinforcement-Learning-With-Python is written mainly in Jupyter Notebook. It has been in active development since 2018. Its main topics are asynchronous-advantage-actor-critic, deep-deterministic-policy-gradient, deep-learning-algorithms, deep-q-network.
What is Hands-On-Reinforcement-Learning-With-Python?
Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow
Is Hands-On-Reinforcement-Learning-With-Python open source?
Hands-On-Reinforcement-Learning-With-Python is an open-source project.
Is Hands-On-Reinforcement-Learning-With-Python free?
Yes. Hands-On-Reinforcement-Learning-With-Python is free and open source — you can use, modify and self-host it.
What language is Hands-On-Reinforcement-Learning-With-Python written in?
Hands-On-Reinforcement-Learning-With-Python is written mainly in Jupyter Notebook.
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