A set of Deep Reinforcement Learning Agents implemented in Tensorflow.
Learn and implement various reinforcement learning algorithms with provided examples in Tensorflow.
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Free · no card · unsubscribe anytimeA set of Deep Reinforcement Learning Agents implemented in Tensorflow.
DeepRL-Agents has 2.3k stars on GitHub. It has been forked 820 times. DeepRL-Agents is written mainly in Jupyter Notebook. It has been in active development since 2016. DeepRL-Agents is available under the MIT license. Its main topics are reinforcement-learning, tensorflow.
A set of Deep Reinforcement Learning Agents implemented in Tensorflow.
DeepRL-Agents is an open-source project. It is released under the MIT license.
Yes. DeepRL-Agents is free and open source — you can use, modify and self-host it.
DeepRL-Agents is available under the MIT license.
DeepRL-Agents is written mainly in Jupyter Notebook.
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