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Add LevDoom and COOM benchmarks to the tools/projects list #585
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Hi @TTomilin, thank you for the PR and for sharing these projects; they look very cool. I'm happy to accept this PR. I would be happy to have these also listed on ViZDoom documentation (https://vizdoom.farama.org/) under the 3rd-party environments/libraries subpage, but for that it would be nice to have:
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Hi @mwydmuch! Thank you very much for the suggestions! I have updated both projects to use the latest dependency versions, published them on PyPi, improved the README.md files, and simplified their usage. In which section of ViZDoom documentation do you propose they be added and in what form exactly? I could not find an existing 3rd-party environments/libraries subpage. |
That's great! The README.md files are now much clearer for me! Regarding the ViZDoom documentation, we don't have such a subpage at the moment, but I've planned to add one for some time now. You can create a new .md file under |
I will also fix this pre-commit check, so don't worry about it. |
I've just spent a moment testing both projects, and they install and run perfectly :) I have one more tip: even if you don't plan to work on these projects further, it would be good to make releases on Github to have tags matching the codes that were pushed to the PyPI index. It will make it look more professional. |
I created the documentation page. As I'm not sure what your vision is in terms of how long each entry should be or what it provides, feel free to adjust anything. I currently made them more introductory and visual. And thanks for the tip! |
@TTomilin thank you very much for the documentation page! I shortened your descriptions a bit, as I believe they shouldn't contain too many details because they may change in the feature, and users should check for them on projects' repos/websites. Don't hesitate to submit another PR if I made some mistakes in these. |
Hi!
I would like to propose adding two new ViZDoom benchmarks to the tools/projects list in the README.
LevDoom is a generalization benchmark with progressively complex visual environments published at CoG 2022 and COOM is a Continual Learning benchmark for task-incremental learning published at the NeurIPS 2023 Datasets and Benchmarks Track.
I believe highlighting these projects can be beneficial to the ViZDoom community. If not for the plentiful new hand-crafted environments they contain, then for drawing inspiration for future research in applying ViZDoom in novel ways.