From dd05501b6e3138875ff729d299ae3da53ac0e8bd Mon Sep 17 00:00:00 2001 From: Christopher Yeh Date: Wed, 13 Dec 2023 00:44:26 +0000 Subject: [PATCH] Update website PDF link. Add tagging instructions to CONTRIBUTING.md --- CONTRIBUTING.md | 4 ++++ docs/index.md | 2 +- 2 files changed, 5 insertions(+), 1 deletion(-) diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md index d0a66d7..3250f5e 100644 --- a/CONTRIBUTING.md +++ b/CONTRIBUTING.md @@ -59,6 +59,10 @@ python -m build # upload built files to PyPI twine upload --repository testpypi dist/* # for testpypi twine upload dist/* + +# create a new tag +git tag vX.Y.Z +git push origin --tags ``` diff --git a/docs/index.md b/docs/index.md index b67c8a0..f17e700 100644 --- a/docs/index.md +++ b/docs/index.md @@ -11,7 +11,7 @@ A suite of environments designed to test the performance of RL algorithms on rea The lack of standardized benchmarks for reinforcement learning (RL) in sustainability applications has made it difficult to both track progress on specific domains and identify bottlenecks for researchers to focus their efforts on. We present **SustainGym**, a suite of environments designed to test the performance of RL algorithms on realistic sustainability tasks. These environments highlight challenges in introducing RL to real-world sustainability tasks, including physical constraints and distribution shift.

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