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[#]: subject: "DeepMind’s Open Source MuJoCo Is Available On GitHub"
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[#]: via: "https://www.opensourceforu.com/2022/05/deepminds-open-source-mujoco-is-available-on-github/"
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[#]: author: "Laveesh Kocher https://www.opensourceforu.com/author/laveesh-kocher/"
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[#]: collector: "lkxed"
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[#]: translator: " "
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[#]: reviewer: " "
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[#]: publisher: " "
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[#]: url: " "
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DeepMind’s Open Source MuJoCo Is Available On GitHub
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======
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![deepmind1][1]
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DeepMind, an Alphabet subsidiary and AI research lab, acquired the MuJoCo physics engine for robotics research and development in October 2021. The simulator was to be open-sourced and maintained as a free, open source, community-driven project. DeepMind claims that the open sourcing is now complete, with the entire codebase [available on GitHub][2].
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MuJoCo, which stands for Multi-Joint Dynamics with Contact, is a physics engine designed to aid research and development in robotics, biomechanics, graphics and animation, and other fields that require fast and accurate simulation. MuJoCo can be used to implement model-based computations for machine learning applications such as control synthesis, state estimation, system identification, mechanism design, data analysis through inverse dynamics, and parallel sampling. It can also be used as a standard simulator, such as for gaming and interactive virtual environments.
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According to DeepMind, the following are some of the features that make MuJoCo appealing for collaboration:
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* Comprehensive simulator capable of simulating complex mechanisms
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* Readable, performant, portable code
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* Codebase that is easily extensible
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* Extensive documentation, including both user-facing and code comments – We hope that colleagues from academia and the OSS community will use this platform and contribute to the codebase, thereby improving research for all.
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DeepMind has more to say:
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“As a C library with no dynamic memory allocation, MuJoCo is very fast. Unfortunately, raw physics speed has historically been hindered by Python wrappers, which made batched, multi-threaded operations non-performant due to the presence of the Global Interpreter Lock (GIL) and non-compiled code. In our roadmap below, we address this issue going forward.
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“For now, we’d like to share some benchmarking results for two common models. The results were obtained on a standard AMD Ryzen 9 5950X machine, running Windows 10.”
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--------------------------------------------------------------------------------
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via: https://www.opensourceforu.com/2022/05/deepminds-open-source-mujoco-is-available-on-github/
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作者：[Laveesh Kocher][a]
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选题：[lkxed][b]
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译者：[译者ID](https://github.com/译者ID)
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校对：[校对者ID](https://github.com/校对者ID)
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本文由 [LCTT](https://github.com/LCTT/TranslateProject) 原创编译，[Linux中国](https://linux.cn/) 荣誉推出
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[a]: https://www.opensourceforu.com/author/laveesh-kocher/
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[b]: https://github.com/lkxed
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[1]: https://www.opensourceforu.com/wp-content/uploads/2022/05/deepmind1.jpg
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[2]: https://github.com/deepmind/mujoco
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