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README.md

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# MuJoCo Playground
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<h1>
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<a href="#"><img alt="MuJoCo Playground" src="assets/banner.png" width="100%"></a>
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</h1>
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![Banner for playground](https://github.com/google-deepmind/mujoco_playground/blob/main/assets/banner.png?raw=true)
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A comprehensive suite of GPU-accelerated environments for robot learning research and sim-to-real, built with [MuJoCo MJX](https://github.com/google-deepmind/mujoco/tree/main/mjx).
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## How can I contribute?
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Get started by installing the library and exploring its features! Found a bug? Report it in the issue tracker. Interested in contributing? If you’re a developer with robotics experience, we’d love your help—check out the [contribution guidelines](CONTRIBUTING) for more details.
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Get started by installing the library and exploring its features! Found a bug? Report it in the issue tracker. Interested in contributing? If you’re a developer with robotics experience, we’d love your help—check out the [contribution guidelines](CONTRIBUTING.md) for more details.
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## Citation
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mujoco_playground/_src/registry.py

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elif env_name in dm_control_suite.ALL:
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return dm_control_suite.load(env_name, config, config_overrides)
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raise ValueError(
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f"Env '{env_name}' not found. Available envs:"
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f" {manipulation.ALL + locomotion.ALL + dm_control_suite.ALL}"
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)
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raise ValueError(f"Env '{env_name}' not found. Available envs: {ALL_ENVS}")
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def get_domain_randomizer(env_name: str) -> Optional[DomainRandomizer]:

pyproject.toml

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[project]
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name = "playground"
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version = "0.0.2"
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version = "0.0.3"
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readme = "README.md"
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authors = [
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{name = "Google DeepMind", email = "[email protected]"},

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