basic_reinforcement_learning
An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.
Learn how to implement different reinforcement learning techniques through step-by-step tutorials.
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Free · no card · unsubscribe anytimeAn introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.
basic_reinforcement_learning has 1.2k stars on GitHub. It has been forked 368 times. basic_reinforcement_learning is written mainly in Jupyter Notebook. It has been in active development since 2016. basic_reinforcement_learning is available under the GPL-3.0 license. Its main topics are ai, artificial-intelligence, deep-learning, deeplearning.
What is basic_reinforcement_learning?
An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.
Is basic_reinforcement_learning open source?
basic_reinforcement_learning is an open-source project. It is released under the GPL-3.0 license.
Is basic_reinforcement_learning free?
Yes. basic_reinforcement_learning is free and open source — you can use, modify and self-host it. Its GPL-3.0 license is copyleft: if you distribute a modified version, it must remain under the same license.
What license does basic_reinforcement_learning use?
basic_reinforcement_learning is available under the GPL-3.0 license.
What language is basic_reinforcement_learning written in?
basic_reinforcement_learning is written mainly in Jupyter Notebook.
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