AdjutantBot

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[e][h]Ticon.png AdjutantBot
Author(s):
Nicholas Bowen
Affiliation:
University of Central Florida
Country:
USA USA
Race:
ELO peak:
BWAPI version:
3.7.4
Type:
DLL
Download:
Language:
C++
Source code:
Github.png

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

Scientific Publications