Update citations (#86)

CITATION.bib

@@ -1,6 +1,6 @@
-@inproceedings{Alegre+2022bnaic,
-  author = {Lucas N. Alegre and Florian	Felten and El-Ghazali Talbi and Gr{\'e}goire Danoy and Ann Now{\'e} and Ana L. C. Bazzan and Bruno C. da Silva},
-  title = {{MO-Gym}: A Library of Multi-Objective Reinforcement Learning Environments},
-  booktitle = {Proceedings of the 34th Benelux Conference on Artificial Intelligence BNAIC/Benelearn 2022},
-  year = {2022}
+@inproceedings{felten_toolkit_2023,
+	author = {Felten, Florian and Alegre, Lucas N. and Now{\'e}, Ann and Bazzan, Ana L. C. and Talbi, El Ghazali and Danoy, Gr{\'e}goire and Silva, Bruno C. {\relax da}},
+	title = {A Toolkit for Reliable Benchmarking and Research in Multi-Objective Reinforcement Learning},
+	booktitle = {Proceedings of the 37th Conference on Neural Information Processing Systems ({NeurIPS} 2023)},
+	year = {2023}
 }

README.md

@@ -82,11 +82,11 @@ Maintenance for this project is also contributed by the broader Farama team: [fa
 If you use this repository in your research, please cite:
 
 ```bibtex
-@inproceedings{Alegre+2022bnaic,
-  author = {Lucas N. Alegre and Florian	Felten and El-Ghazali Talbi and Gr{\'e}goire Danoy and Ann Now{\'e} and Ana L. C. Bazzan and Bruno C. da Silva},
-  title = {{MO-Gym}: A Library of Multi-Objective Reinforcement Learning Environments},
-  booktitle = {Proceedings of the 34th Benelux Conference on Artificial Intelligence BNAIC/Benelearn 2022},
-  year = {2022}
+@inproceedings{felten_toolkit_2023,
+	author = {Felten, Florian and Alegre, Lucas N. and Now{\'e}, Ann and Bazzan, Ana L. C. and Talbi, El Ghazali and Danoy, Gr{\'e}goire and Silva, Bruno C. {\relax da}},
+	title = {A Toolkit for Reliable Benchmarking and Research in Multi-Objective Reinforcement Learning},
+	booktitle = {Proceedings of the 37th Conference on Neural Information Processing Systems ({NeurIPS} 2023)},
+	year = {2023}
 }
 ```
 

docs/citing/citing.md

@@ -7,6 +7,17 @@ title: "Citing"
 :end-before: <!-- end citation -->
 ```
 
+MO-Gymnasium (formerly MO-Gym) appeared first in the following workshop publication:
+
+```bibtex
+@inproceedings{Alegre+2022bnaic,
+  author = {Lucas N. Alegre and Florian	Felten and El-Ghazali Talbi and Gr{\'e}goire Danoy and Ann Now{\'e} and Ana L. C. Bazzan and Bruno C. {\relax da} Silva},
+  title = {{MO-Gym}: A Library of Multi-Objective Reinforcement Learning Environments},
+  booktitle = {Proceedings of the 34th Benelux Conference on Artificial Intelligence BNAIC/Benelearn 2022},
+  year = {2022}
+}
+```
+
 ```{toctree}
 :hidden:
 :glob:

docs/examples/publications.md

@@ -10,7 +10,14 @@ MO-Gymnasium (formerly MO-Gym) was first published in:
 
 
 List of publications & submissions using MO-Gymnasium (please open a pull request to add missing entries):
+
 - [Sample-Efficient Multi-Objective Learning via Generalized Policy Improvement Prioritization](https://arxiv.org/abs/2301.07784) (Alegre et al., AAMAS 2023)
 - [Hyperparameter Optimization for Multi-Objective Reinforcement Learning](https://arxiv.org/abs/2310.16487v1) (Felten et al., MODeM Workshop 2023)
 - [Multi-Step Generalized Policy Improvement by Leveraging Approximate Models](https://openreview.net/forum?id=KFj0Q1EXvU) (Alegre et al., NeurIPS 2023)
 - [A Toolkit for Reliable Benchmarking and Research in Multi-Objective Reinforcement Learning](https://openreview.net/forum?id=jfwRLudQyj) (Felten et al., NeurIPS 2023)
+- [Distributional Pareto-Optimal Multi-Objective Reinforcement Learning](https://proceedings.neurips.cc/paper_files/paper/2023/hash/32285dd184dbfc33cb2d1f0db53c23c5-Abstract-Conference.html) (Cai et al., NeurIPS 2023)
+- [Welfare and Fairness in Multi-objective Reinforcement Learning](https://arxiv.org/abs/2212.01382) (Fan et al., AAMAS 2023)
+- [Personalized Reinforcement Learning with a Budget of Policies](https://arxiv.org/abs/2401.06514) (Ivanov et al., 2024)
+- [Multi-Objective Reinforcement Learning Based on Decomposition: A Taxonomy and Framework](https://arxiv.org/abs/2311.12495) (Felten et al., 2024)
+- [Multi-objective reinforcement learning for guaranteeing alignment with multiple values](https://alaworkshop2023.github.io/papers/ALA2023_paper_15.pdf) (Rodriguez-Soto et al., 2023)
+- [MOFL/D: A Federated Multi-objective Learning Framework with Decomposition](https://neurips.cc/virtual/2023/79018) (Hartmann et al., 2023)