Deep-Reinforcement-Learning-With-Python
Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math
Learn and practice various reinforcement learning methods using practical examples and mathematical concepts.
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Free · no card · unsubscribe anytimeMaster classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math
Deep-Reinforcement-Learning-With-Python has 474 stars on GitHub. It has been forked 141 times. Deep-Reinforcement-Learning-With-Python is written mainly in Jupyter Notebook. It has been in active development since 2020. Its main topics are a2c, a3c, actor-critic, bellman-equation.
What is Deep-Reinforcement-Learning-With-Python?
Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math
Is Deep-Reinforcement-Learning-With-Python open source?
Deep-Reinforcement-Learning-With-Python is an open-source project.
Is Deep-Reinforcement-Learning-With-Python free?
Yes. Deep-Reinforcement-Learning-With-Python is free and open source — you can use, modify and self-host it.
What language is Deep-Reinforcement-Learning-With-Python written in?
Deep-Reinforcement-Learning-With-Python is written mainly in Jupyter Notebook.
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