updated citylearn challenge pages

intelligent-environments-lab · Feb 4, 2024 · 89a83d1 · 89a83d1
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diff --git a/docs/source/citylearn_challenge/2022.rst b/docs/source/citylearn_challenge/2022.rst
@@ -4,7 +4,7 @@ The CityLearn Challenge 2022
 
 .. note::
 
-    The CityLearn Challenge 2022 has now concluded! The winners and the leaderboard have been announced at the `NEURIPS 2022 Competition - The CityLearn Challenge 2022 <https://youtu.be/Yel5zybmvwg>`_:
+    The CityLearn Challenge 2022 has now concluded! The winners and the leaderboard have been announced at the `NEURIPS 2022 Competition - The CityLearn Challenge 2022 <https://youtu.be/Yel5zybmvwg>`_.
 
 .. note::
 

diff --git a/docs/source/citylearn_challenge/2023.rst b/docs/source/citylearn_challenge/2023.rst
@@ -2,6 +2,18 @@
 The CityLearn Challenge 2023
 ============================
 
-We are delighted to announce that `The CityLearn Challenge 2023 <https://www.aicrowd.com/challenges/neurips-2023-citylearn-challenge>`_ is accepted as a `NEURIPS 2023 Competition Track <https://neurips.cc/Conferences/2023/CompetitionTrack>`_ and will be hosted on `AIcrowd <https://www.aicrowd.com>`_.
+.. note::
 
-Please, visit the `competition page <https://www.aicrowd.com/challenges/neurips-2023-citylearn-challenge>`_ for more information!
+    The CityLearn Challenge 2023 has now concluded! The winners and the leaderboard have been announced at the `NEURIPS 2023 Competition - The CityLearn Challenge 2023 <https://neurips.cc/virtual/2023/competition/66590>`_.
+
+.. note::
+
+    The CityLearn Challenge 2023 used The CityLearn Challenge 2023 dataset :cite:p:`T8/SXFWTI_2024` and `CityLearn v2.1b12 <https://github.com/intelligent-environments-lab/CityLearn/tree/v2.1b12>`_. To install this CityLearn version, run:
+
+    .. code-block:: bash
+
+        pip install CityLearn==v2.1b12
+
+.. note::
+
+    Please, visit the `official competition page on AIcrowd <https://www.aicrowd.com/challenges/neurips-2023-citylearn-challenge>`_ for more information!
diff --git a/docs/source/references.bib b/docs/source/references.bib
@@ -213,6 +213,17 @@ @misc{T8/0YLJ6Q_2023
 url = {https://doi.org/10.18738/T8/0YLJ6Q}
 }
 
+@data{T8/SXFWTI_2024,
+author = {Nweye, Kingsley and Langtry, Max and Choudhary, Ruchi and Nagy, Gyorgy Zoltan},
+publisher = {Texas Data Repository},
+title = {{The CityLearn Challenge 2023 Dataset}},
+UNF = {UNF:6:6dRMb3lMaCr1Glh4/8sP5w==},
+year = {2024},
+version = {V1},
+doi = {10.18738/T8/SXFWTI},
+url = {https://doi.org/10.18738/T8/SXFWTI}
+}
+
 @article{NWEYE2022100202,
 title = {Real-world challenges for multi-agent reinforcement learning in grid-interactive buildings},
 journal = {Energy and AI},