Achiam, J., Held, D., Tamar, A., and Abbeel, P. (2017). Constrained policy optimization. In Precup, D. and Teh, Y. W., editors, Proceedings of the 34th International Conference on Machine Learning, volume 70 of Proceedings of Machine Learning Research, pages 22-31. PMLR.
Behzadan, V. and Munir, A. (2017). Whatever does not kill deep reinforcement learning, makes it stronger. arXiv preprint arXiv:1712.09344.
Chazelle, B. (1983). The bottom-left bin-packing heuristic: An efficient implementation. IEEE Transactions on Computers, 32(08):697-707.
Choo, J., Kwon, Y.-D., Kim, J., Jae, J., Hottung, A., Tierney, K., and Gwon, Y. (2022). Simulation-guided beam search for neural combinatorial optimization. In Oh, A. H., Agarwal, A., Belgrave, D., and Cho, K., editors, Advances in Neural Information Processing Systems.
Chow, Y., Ghavamzadeh, M., Janson, L., and Pavone, M. (2017). Risk-constrained reinforcement learning with percentile risk criteria. The Journal of Machine Learning Research, 18(1):6070-6120.
Crainic, T. G., Perboli, G., and Tadei, R. (2008). Extreme point-based heuristics for three-dimensional bin packing. *Informs Journal on computing*, 20(3):368-384.
de Castro Silva, J., Soma, N., and Maculan, N. (2003). A greedy search for the three-dimensional bin packing problem: the packing static stability case. International Transactions in Operational Research, 10(2):141-153.
Ding, W., Shi, L., Chi, Y., and Zhao, D. (2023). Seeing is not believing: Robust reinforcement learning against spurious correlation. arXiv preprint arXiv:2307.07907.
Elhedhli, S., Gzara, F., and Yildiz, B. (2019). Three-dimensional bin packing and mixed-case palletization. INFORMS Journal on Optimization, 1(4):323-352.
Goodfellow, I., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., Courville, A., and Bengio, Y. (2020). Generative adversarial networks. Communications of the ACM, 63(11):139-144.
Gzara, F., Elhedhli, S., and Yildiz, B. C. (2020). The pallet loading problem: Three-dimensional bin packing with practical constraints. European Journal of Operational Research, 287(3):1062-1074.
Ha, C. T., Nguyen, T. T., Bui, L. T., and Wang, R. (2017). An online packing heuristic for the three-dimensional container loading problem in dynamic environments and the physical internet. In Applications of Evolutionary Computation: 20th European Conference, EvoApplications 2017, Amsterdam, The Netherlands, April 19-21, 2017, Proceedings, Part II 20, pages 140-155. Springer.
Hiraoka, T., Imagawa, T., Mori, T., Onishi, T., and Tsuruoka, Y. (2019). Learning robust options by conditional value at risk optimization. Advances in Neural Information Processing Systems, 32.
Ho, C. P., Petrik, M., and Wiesemann, W. (2022). Robust phi-divergence mdps. arXiv preprint arXiv:2205.14202.
Hu, H., Zhang, X., Yan, X., Wang, L., and Xu, Y. (2017). Solving a new 3d bin packing problem with deep reinforcement learning method. arXiv preprint arXiv:1708.05930.
Hu, R., Xu, J., Chen, B., Gong, M., Zhang, H., and Huang, H. (2020). Tap-net: transport-and-pack using reinforcement learning. ACM Transactions on Graphics (TOG), 39(6):1-15.
Huang, S., Papernot, N., Goodfellow, I., Duan, Y., and Abbeel, P. (2017). Adversarial attacks on neural network policies. arXiv preprint arXiv:1702.02284.