Description
Types of changes
- Bug fix
- New feature
- New algorithm
- Documentation
Checklist:
- I've read the CONTRIBUTION guide (required).
- I have ensured
pre-commit run --all-filespasses (required). - I have updated the tests accordingly (if applicable).
- I have updated the documentation and previewed the changes via
mkdocs serve.- I have explained note-worthy implementation details.
- I have explained the logged metrics.
- I have added links to the original paper and related papers.
If you need to run benchmark experiments for a performance-impacting changes:
- I have contacted @vwxyzjn to obtain access to the openrlbenchmark W&B team.
- I have used the benchmark utility to submit the tracked experiments to the openrlbenchmark/cleanrl W&B project, optionally with
--capture_video. - I have performed RLops with
python -m openrlbenchmark.rlops.- For new feature or bug fix:
- I have used the RLops utility to understand the performance impact of the changes and confirmed there is no regression.
- For new algorithm:
- I have created a table comparing my results against those from reputable sources (i.e., the original paper or other reference implementation).
- I have added the learning curves generated by the
python -m openrlbenchmark.rlopsutility to the documentation. - I have added links to the tracked experiments in W&B, generated by
python -m openrlbenchmark.rlops ....your_args... --report, to the documentation.
- For new feature or bug fix: