Custom Algorithms and Policies

Our benchmark is not constrained to the presented algorithms. You can always add in your new algorithm. In this repo, we have also included a lifelong learning algorithm AGEM.

To see an example of your own algorithm or policy architecture, please refer to the following notebook as a step-by-step example:

jupyter notebook notebooks/quick_guide_algo.ipynb