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6 changes: 3 additions & 3 deletions README.md
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# mujoco-py [![Documentation](https://img.shields.io/badge/docs-latest-brightgreen.svg?style=flat)](https://openai.github.io/pymj/build/html/index.html) [![Build Status](https://travis-ci.com/openai/pymj.svg?token=aA2GupFxnzsRTN56psRJ&branch=master)](https://travis-ci.com/openai/pymj) [![Build status](https://ci.appveyor.com/api/projects/status/dsg86qpalv9bi568?svg=true)](https://ci.appveyor.com/project/wojzaremba/pymj)
# mujoco-py [![Documentation](https://img.shields.io/badge/docs-latest-brightgreen.svg?style=flat)](https://openai.github.io/mujoco-py/build/html/index.html) [![Build Status](https://travis-ci.org/openai/mujoco-py.svg?branch=master)](https://travis-ci.org/openai/mujoco-py)

[MuJoCo](http://mujoco.org/) is a physics engine for detailed, efficient rigid body simulations with contacts. `mujoco-py` allows using MuJoCo from Python.

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# -2.39251380e-08 -4.46750545e-07 1.78771599e-09 -1.04232280e-08]
```

See the [full documentation](https://openai.github.io/pymj/build/html/index.html) for advanced usage.
See the [full documentation](https://openai.github.io/mujoco-py/build/html/index.html) for advanced usage.

## Usage Examples

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- [`simpool.py`](./examples/simpool.py): shows how `MjSimPool` can be used to run a number of simulations in parallel
- [`tosser.py`](./examples/tosser.py): shows a simple actuated object sorting robot application

See the [full documentation](https://openai.github.io/pymj/build/html/index.html) for advanced usage.
See the [full documentation](https://openai.github.io/mujoco-py/build/html/index.html) for advanced usage.

## Development

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`MuJoCo <http://mujoco.org/>`_ is a physics engine for detailed, efficient rigid body simulations with contacts. ``mujoco-py`` allows using MuJoCo from Python.

See the `README <https://github.com/openai/mujoco-py#mujoco-py-->`_ for installation instructions and example usage.
See the `README <https://github.com/openai/mujoco-py/blob/master/README.md>`_ for installation instructions and example usage.

``mujoco-py`` allows access to MuJoCo on a number of different levels of abstraction:

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