1. 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, 181:1-181:50 (2020)
2. Jiang, M., Grefenstette, E., Rocktäschel, T.: Prioritized level replay. In: International Conference on Machine Learning, pages 4940–4950. PMLR (2021)
3. Matiisen, T., Oliver, A., Cohen, T., Schulman, J.: Teacher-student curriculum learning. IEEE Trans. Neural Networks Learn. Syst. 31(9), 3732–3740 (2019)
4. Chen, J., et al.: Variational automatic curriculum learning for sparse-reward cooperative multi-agent problems. Advances in Neural Information Processing Systems, vol. 34 (2021)
5. Dennis, M., et al.: Emergent complexity and zero-shot transfer via unsupervised environment design. Adv. Neural. Inf. Process. Syst. 33, 13049–13061 (2020)