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Installation

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RL4CO is now available for installation on pip!

pip install rl4co

Local install and development

If you want to develop RL4CO or access the latest builds, we recommend you to install it locally with pip in editable mode:

git clone https://github.com/ai4co/rl4co && cd rl4co
pip install -e .

Note: conda is also a good candidate for hassle-free installation of PyTorch: check out the PyTorch website for more details.

To get started, we recommend checking out our quickstart notebook or the minimalistic example.