https://libeldoc.bsuir.by/handle/123456789/34700| Title: | Application of reinforcement learning to revenue management |
| Authors: | Balasanov, Y. Tselishchev, M. |
| Keywords: | материалы конференций;reinforcement learning problem;revenue management;Q-learning |
| Issue Date: | 2019 |
| Publisher: | БГУИР |
| Citation: | Balasanov, Y. Application of reinforcement learning to revenue management / Y. Balasanov, M. Tselishchev // BIG DATA and Advanced Analytics = BIG DATA и анализ высокого уровня : сборник материалов V Международной научно-практической конференции, Минск, 13–14 марта 2019 г. В 2 ч. Ч. 1 / Белорусский государственный университет информатики и радиоэлектроники; редкол. : В. А. Богуш [и др.]. – Минск, 2019. – С. 19 – 27. |
| Abstract: | Problem of revenue management.Every seller of a product or service has to make some fundamental decisions:a child making a lemonade booth: when to have the sale, how much to ask for each cup and when to drop the price to finish the sale at the end of the day;a homeowner selling a house: when to list it, what price to ask, which offer to accept, when to lower the price or unlist the house if necessary; an eBay seller: what is the duration of the auction, what is the starting price, all these are variations of famous optimization problem known under names like: the secretary problem, the marriage problem, the sultan's dowry problem, the fussy suitor problem, etc. The key issue is optimization under uncertainty of the future. |
| URI: | https://libeldoc.bsuir.by/handle/123456789/34700 |
| Appears in Collections: | BIG DATA and Advanced Analytics = BIG DATA и анализ высокого уровня : материалы конференции (2019) |
| File | Description | Size | Format | |
|---|---|---|---|---|
| Balasanov_Application.PDF | 705.28 kB | Adobe PDF | View/Open |
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