Beating the Optimal Stopping Rule with Game Specific Knowledge
Beating the Optimal Stopping Rule with Game Specific Knowledge launched on December 9, 2019 with 18 votes, #699 of 2,946 launches that month and more than 75% of that year's launches. The site was still online in September 2026, 6 years on.
In plain words
Beating the Optimal Stopping Rule with Game Specific Knowledge is a research project that explores how domain-specific knowledge can improve decision-making beyond standard optimal stopping algorithms. Launched in 2019, it examines strategies for timing decisions—such as when to accept an offer or make a choice—by incorporating game-specific insights. The work is aimed at researchers and strategists interested in decision theory and algorithmic optimization.
written from the facts on this page · September 2026
From the sources
The Victor Game , as I call it because the guy that created the game we are talking about here is named Victor, is a game that has characteristics similar to The Secretary Problem . (Page sources for his game are available on GitHub ). The Victor Game differs from The Secretary Problem in that the numbers in The Victor Game are generated in a specific, known way. With this knowledge, it is possible to make better decisions in the game than one would do if one were applying the Optimal Stopping Rule from The Secretary Problem when playing The Victor Game. The distribution chosen here is ~ uniform for the number of digits. [ github.com/victorqribeiro/googol/blob/7cb61ff/js/main.js#L10 ] This…from ctsrc.github.io
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