1. Pendyala, A., Dettmer, J., Glasmachers, T., Aamna, T.: ContainerGym: a real-world reinforcement learning benchmark for resource allocation. In: Machine Learning, Optimization, and Data Science, pp. 78–92. Springer (2024). https://doi.org/10.1007/978-3-031-53969-5_7
2. Narvekar, S., Peng, B., Leonetti, M., Sinapov, J., Taylor, M.E., Stone, P.: Curriculum learning for reinforcement learning domains: a framework and survey. J. Mach. Learn. Res. 21(1), 7382–7431 (2020)
3. Weinshall, D., Cohen, G., Amir, D.: Curriculum Learning by Transfer Learning: Theory and Experiments with Deep Networks. arXiv preprint arXiv:1802.03796 (2018)
4. Justesen, N., Bontrager, P., Togelius, J., Risi, S.: Automated curriculum learning for deep reinforcement learning. In: Conference on Computational Intelligence and Games (CIG) (2018)
5. Riedmiller, M., et al.: Learning by Playing - Solving Sparse Reward Tasks from Scratch. arXiv preprint arXiv:1802.10567 (2018)