Codebase for the self-supervised goal reaching benchmark introduced in ‘Discovering and Achieving Goals via World Models’.


Create the conda environment by running : conda env create -f environment.yml

Alternatively, you can update an existing conda environment by running : conda env update -f environment.yml

Modify the python path
export PYTHONPATH=<path to lexa-benchmark>

Export the following variables for rendering
export MUJOCO_RENDERER=egl; export MUJOCO_GL=egl

Please follow these instructions to install mujoco


GitHub - lexa-agent/lexa-benchmark at pythonawesome.com
Contribute to lexa-agent/lexa-benchmark development by creating an account on GitHub.