1. Lucas N. Alegre, Florian Felten, El-Ghazali Talbi, Grégoire Danoy, Ann Nowé, Ana L. C. Bazzan, and Bruno C. da Silva. 2022. MO-Gym: A Library of Multi-Objective Reinforcement Learning Environments. In Proceedings of the 34th Benelux Conference on Artificial Intelligence BNAIC/Benelearn 2022.
2. Benjamin Eysenbach, Abhishek Gupta, Julian Ibarz, and Sergey Levine. 2019. Diversity is All You Need: Learning Skills without a Reward Function. In International Conference on Learning Representations. https://openreview.net/forum?id=SJx63jRqFm
3. A practical guide to multi-objective reinforcement learning and planning
4. Joel Lehman and Kenneth O Stanley. 2011. Novelty search and the problem with objectives. Genetic programming theory and practice IX (2011), 37--56.
5. Jean-Baptiste Mouret and Jeff Clune. 2015. Illuminating search spaces by mapping elites. arXiv preprint arXiv:1504.04909 (2015). https://arxiv.org/abs/1504.04909