AdjutantBot
Author(s):
Nicholas Bowen
Affiliation:
University of Central Florida
Country:
Race:
Terran
BWAPI version:
3.7.4
Type:
DLL
Download:
Language:
C++
This project focuses on the problem of avoiding troop loss by identifying good tactical groupings. Banding separated units together using UCT (Upper Confidence bounds applied to Trees) along with a learned reward model outperforms grouping heuristics at winning battles while preserving resources. Our Adjutant bot design won the best Newcomer honor at CIG 2012
Videos
Competitions
| Year | Place | Event | Result |
|---|---|---|---|
| 2013 | 5th | CIG 2013 | 42.4% |
| 2012 | 5th | AIIDE 2012 | 52.84% |
| 2012 | 4th | CIG 2012 | 58.7% |
| Medals: none | |||
