Author:
Cao Jian,Liu Zeling,Wu Yao
Publisher
Springer International Publishing
Reference17 articles.
1. Den Boer, A.V.: Dynamic pricing and learning: historical origins, current research, and new directions. Surv. Oper. Res. Manag. Sci. 20(1), 1–18 (2015)
2. Wang, K., Zhang, A., Zhang, Y.: Key determinants of airline pricing and air travel demand in China and India: policy, ownership, and LCC competition. Transp. Policy 63, 80–89 (2018)
3. Anjos, M.F., Cheng, R.C., Currie, C.S.: Maximizing revenue in the airline industry under one-way pricing. J. Oper. Res. Soc. 55(5), 535–541 (2004)
4. Tekin, P., Erol, R.: A new dynamic pricing model for the effective sustainability of perishable product life cycle. Sustainability 9(8), 1–22 (2017)
5. Van Hasselt, H., Guez, A., Silver, D.: Deep reinforcement learning with double q-learning. In: National Conference on Artificial Intelligence (2016)
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