1. Zong, Z., Feng, T., Xia, T., Jin, D., Li, Y.: Deep reinforcement learning for demand driven services in logistics and transportation systems: a survey. arXiv preprint arXiv:2108.04462 (2021)
2. Ropke, S., Cordeau, J.-F.: Branch and cut and price for the pickup and delivery problem with time windows. Transp. Sci. 43(3), 267–286 (2009)
3. Ropke, S., Pisinger, D.: An adaptive large neighborhood search heuristic for the pickup and delivery problem with time windows. Transp. Sci. 40(4), 455–472 (2006)
4. Bello, I., Pham, H., Le, Q.V., Norouzi, M., Bengio, S.: Neural combinatorial optimization with reinforcement learning. arXiv preprint arXiv:1611.09940 (2016)
5. Li, J., Xin, L., Cao, Z., Lim, A., Song, W., Zhang, J.: Heterogeneous attentions for solving pickup and delivery problem via deep reinforcement learning. IEEE Trans. Intell. Transp. Syst. 23(3), 2306–2315 (2021)