Awesome

jaxrl2

If you use JAXRL2 in your work, please cite this repository in publications:

@misc{jaxrl,
  author = {Kostrikov, Ilya},
  doi = {10.5281/zenodo.5535154},
  month = {10},
  title = {{JAXRL: Implementations of Reinforcement Learning algorithms in JAX}},
  url = {https://github.com/ikostrikov/jaxrl2},
  year = {2022},
  note = {v2}
}

Installation

Run

pip install --upgrade pip

pip install -e .
pip install --upgrade "jax[cuda]" -f https://storage.googleapis.com/jax-releases/jax_releases.html  # Note: wheels only available on linux.

See instructions for other versions of CUDA here.

Examples

Here.

Tests

MUJOCO_GL=egl CUDA_VISIBLE_DEVICES= pytest tests

Acknowledgements

Thanks to @evgenii-nikishin for helping with JAX. And @dibyaghosh for helping with vmapped ensembles.