Campus users should disconnect from VPN to access senior theses, as there is a temporary disruption affecting VPN.
 

Publication:

Whist Whiz: Computing Optimal Strategy Gameplay for Contract Whist Variants

datacite.rightsrestricted
dc.contributor.advisorAppel, Andrew Wilson
dc.contributor.advisorKol, Gillat
dc.contributor.authorWaitman, Kayla
dc.date.accessioned2025-08-06T14:22:14Z
dc.date.available2025-08-06T14:22:14Z
dc.date.issued2025-04-10
dc.description.abstractThis work calculates optimal strategies for variants of the card game Contract Whist. Specifically, we investigate strategies for a two-player zero-sum version known as Mercer Whist. Our approach employs a computational framework based on sequence form game representation and formulates the problem as a linear program (LP). By extending methods developed for simpler games such as Kuhn poker, we provide a foundation for exploring more complex game variants and briefly discuss the computational challenges associated with solving for strategies in such games. Finally, we propose directions for next expanding game complexity and suggest potential methods for managing computational constraints.
dc.identifier.urihttps://theses-dissertations.princeton.edu/handle/88435/dsp01n296x259m
dc.language.isoen_US
dc.titleWhist Whiz: Computing Optimal Strategy Gameplay for Contract Whist Variants
dc.typePrinceton University Senior Theses
dspace.entity.typePublication
dspace.workflow.startDateTime2025-04-21T20:31:55.521Z
pu.contributor.authorid920246286
pu.date.classyear2025
pu.departmentComputer Science

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
written_final_report.pdf
Size:
1.07 MB
Format:
Adobe Portable Document Format
Download

License bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
100 B
Format:
Item-specific license agreed to upon submission
Description:
Download