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+ # Knowledge base
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+ This knowledge base is aimed at helping you solving common issues that you might encounter on your RL journey.
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+ It is a more practical guide than what one might usually gather from a textbook or a repo.
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+ It details pro-tips to run models on cluster. It gives indications on how to set up a
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+ conda environment, how to install packages without sudo access. It
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+ highlights common issues when installing and running RL libraries and
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+ provide ready-to-use solution for these issues.
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+
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+ ## Contributing
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+ Of course, this is a ever 1% complete journey, and we can't expect to cover all the RL
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+ field at any point in the future.
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+ ** If you feel something is missing** , or if you bump in an issue and think that the
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+ community might benefit from your experience, please submit a PR with your contribution!
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- [ Spinning Up in Deep RL] ( https://spinningup.openai.com/en/latest/ )
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- [ Hugging face syllabus] ( https://github.com/huggingface/deep-rl-class )
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- [ RL lectures from Deepmind] ( https://www.deepmind.com/learning-resources/reinforcement-learning-lecture-series-2021 )
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+ - [ Best benchmarks] ( https://neptune.ai/blog/best-benchmarks-for-reinforcement-learning )
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+ - [ Awesome RL: Reinforcement learning resources curated] ( https://github.com/aikorea/awesome-rl )
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### Forums
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