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jagdeepsb committed Jun 20, 2024
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# Evolution Gym

> [!CAUTION]
> This branch is under active development!
>
> Version 2 of `evogym` aims to make the following improvements:
> - Separation of requirements between core `evogym` library and `examples`
> - Modernize requirements (python, gym, numpy)
> - Pip-installable, with wheels for common builds
> - Tests
Evolution Gym is a large-scale benchmark for co-optimizing the design and control of soft robots. It provides a lightweight soft-body simulator wrapped with a gym-like interface for developing learning algorithms. Evogym also includes a suite of 32 locomotion and manipulation tasks, detailed on our [website](https://evolutiongym.github.io/all-tasks). Task suite evaluations are described in our [NeurIPS 2021 paper](https://arxiv.org/pdf/2201.09863).

[//]: # (<img src="images/teaser.gif" alt="teaser" width="800"/>)
![teaser](images/teaser.gif)
> [!NOTE]
> Evogym has been recently updated! TLDR: requirements have been modernized, and the library is now pip-installable.
[//]: # (<img src="https://github.com/EvolutionGym/evogym/blob/main/images/teaser.gif" alt="teaser" width="800"/>)
![teaser](https://github.com/EvolutionGym/evogym/blob/main/images/teaser.gif)

# Installation

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```

> [!CAUTION]
> This doesn't work yet -- coming soon!
> This doesn't work yet -- coming soon! For now, you can install from test pypi:
> ```shell
> pip install "numpy<2.0.0" gymnasium
> pip install -i https://test.pypi.org/simple/ evogym
> ```
## From Source
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