Paper by Erik D. Demaine

Erik D. Demaine, Hiro Ito, Stefan Langerman, Jayson Lynch, Mikhail Rudoy, and Kai Xiao, “Cookie Clicker”, Graphs and Combinatorics, volume 36, 2020, pages 269–302.

Cookie Clicker [] is a popular online incremental game where the goal of the game is to generate as many cookies as possible. In the game you start with an initial cookie generation rate, and you can use cookies as currency to purchase various items that increase your cookie generation rate. In this paper, we analyze strategies for playing Cookie Clicker optimally. While simple to state, the game gives rise to interesting analysis involving ideas from NP-hardness, approximation algorithms, and dynamic programming.

This paper is available as arXiv:1808.07540 and from SpringerLink.

The paper is 34 pages.

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Related papers:
CookieClicker_JCDCGGG2017 (Cookie Clicker)

See also other papers by Erik Demaine.
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Last updated January 15, 2021 by Erik Demaine.