Run reinforcement learning experiments using data augmentation techniques in a Jupyter Notebook.
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drq has 422 stars on GitHub. It has been forked 54 times. drq is written mainly in Jupyter Notebook. It has been in active development since 2020. drq is available under the MIT license. Its main topics are actor-critic, control, data-augmentation, deep-learning.
DrQ: Data regularized Q
drq is an open-source project. It is released under the MIT license.
Yes. drq is free and open source — you can use, modify and self-host it.
drq is available under the MIT license.
drq is written mainly in Jupyter Notebook.
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