The self-supervised goal reaching benchmark introduced in Discovering and Achieving Goals via World Models

Oct 15, 2021 1 min read

Lexa-Benchmark

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

Setup

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

John was the first writer to have joined pythonawesome.com. He has since then inculcated very effective writing and reviewing culture at pythonawesome which rivals have found impossible to imitate.

The self-supervised goal reaching benchmark introduced in Discovering and Achieving Goals via World Models

Lexa-Benchmark

Setup

GitHub

John

FastAPI + Django experiment

PoC for CVE-2020-6207 (Missing Authentication Check in SAP Solution Manager)

Lexa-Benchmark

Setup

GitHub

FastAPI + Django experiment

PoC for CVE-2020-6207 (Missing Authentication Check in SAP Solution Manager)

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