applied-reinforcement-learning
Reinforcement Learning and Decision Making tutorials explained at an intuitive level and with Jupyter Notebooks
Learn about reinforcement learning and decision-making through easy-to-understand tutorials and hands-on examples in Jupyter Notebooks.
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applied-reinforcement-learning has 331 stars on GitHub. It has been forked 99 times. applied-reinforcement-learning is written mainly in Jupyter Notebook. It has been in active development since 2017. applied-reinforcement-learning is available under the MIT license. Its main topics are artificial-intelligence, decision-making, deep-reinforcement-learning, docker.
What is applied-reinforcement-learning?
Reinforcement Learning and Decision Making tutorials explained at an intuitive level and with Jupyter Notebooks
Is applied-reinforcement-learning open source?
applied-reinforcement-learning is an open-source project. It is released under the MIT license.
Is applied-reinforcement-learning free?
Yes. applied-reinforcement-learning is free and open source — you can use, modify and self-host it.
What license does applied-reinforcement-learning use?
applied-reinforcement-learning is available under the MIT license.
What language is applied-reinforcement-learning written in?
applied-reinforcement-learning is written mainly in Jupyter Notebook.
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