We strongly encourage researchers to provide us feedback and contributing to the MushroomRL Benchmarking Suite. You can contribute in the following ways:
- providing bug reports;
- implementing new state-of-the-art algorithms.
Please use the GitHub issues and use the "bug" tag to label it. It is desirable if you can provide a minimal Python script where the bug occurs. If the bug is confirmed, you can also provide a pull request to fix it, or wait for the maintainers to resolve the issue.
Customized benchmarks can be implemented adding a configuration file and a builder for,
respectively, the environment and algorithm at hand. Configuration files should be added in
cfg/env/ in the form of a .yaml file, where the hyper-parameters of the experiment, the
environment, and the algorithms used, are specified. The algorithm description has to be provided
in mushroom_rl_benchmark/builders. A builder class should implement a constructor,
a build function where the algorithm is created, and a default function where default
settings for the algorithms are specified.