Please use this identifier to cite or link to this item:
http://arks.princeton.edu/ark:/88435/dsp01nv9356046
Title: | Computer Knows Best: A Computational Approach to Positioning in Teamfight Tactics |
Authors: | Liu, David |
Advisors: | Li, Xiaoyan |
Department: | Computer Science |
Class Year: | 2022 |
Abstract: | This thesis details the design, implementation and further ideas for a computational solver working towards deciphering unit positioning in the game Teamfight Tactics. The project aimed to build and run a program which took in a set of units and output a unique positioning that it deemed to have the highest win rate against a broad set of positioning and compositions. The project was built in three stages: simulation code, a GUI and an algorithm. It was deemed a success and demonstrated thought-provoking recurrent trends that may change the way units are positioned in Teamfight Tactics. |
URI: | http://arks.princeton.edu/ark:/88435/dsp01nv9356046 |
Access Restrictions: | Walk-in Access. This thesis can only be viewed on computer terminals at the Mudd Manuscript Library. |
Type of Material: | Princeton University Senior Theses |
Language: | en |
Appears in Collections: | Computer Science, 1987-2023 |
Files in This Item:
File | Description | Size | Format | |
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LIU-DAVID-THESIS.pdf | 851.22 kB | Adobe PDF | Request a copy |
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