David-Silver-Reinforcement-learning
Notes for the Reinforcement Learning course by David Silver along with implementation of various algorithms.
Read notes and implementations from a Reinforcement Learning course, covering various algorithms and concepts in AI.
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Free · no card · unsubscribe anytimeNotes for the Reinforcement Learning course by David Silver along with implementation of various algorithms.
David-Silver-Reinforcement-learning has 867 stars on GitHub. It has been forked 212 times. David-Silver-Reinforcement-learning is written mainly in Jupyter Notebook. It has been in active development since 2018. David-Silver-Reinforcement-learning is available under the MIT license. Its main topics are artificial-intelligence, course-notes, gym-environment, open-ai.
What is David-Silver-Reinforcement-learning?
Notes for the Reinforcement Learning course by David Silver along with implementation of various algorithms.
Is David-Silver-Reinforcement-learning open source?
David-Silver-Reinforcement-learning is an open-source project. It is released under the MIT license.
Is David-Silver-Reinforcement-learning free?
Yes. David-Silver-Reinforcement-learning is free and open source — you can use, modify and self-host it.
What license does David-Silver-Reinforcement-learning use?
David-Silver-Reinforcement-learning is available under the MIT license.
What language is David-Silver-Reinforcement-learning written in?
David-Silver-Reinforcement-learning is written mainly in Jupyter Notebook.
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