Section:
New Results
AI for real time strategy games
Participants :
Santiago Ontanon, Florian Richoux, Alberto Uriarte.
We continue to develop an artificial intelligence, AIUR , to play
the real time strategy (RTS) game , using
both machine learning and constraint-based techniques. AIUR finished
4th over 18 finalists to the AI
competition organized at the conference AIIDE 2014 , and 4th over
13 finalists to the competition at CIG 2014 . This year, we wrote an
ad-hoc csp solver to deal with the wall-in optimization problem [36]
for StarCraft, and generalized it as a framework enable to handle any
kind of csp /cop models representing a RTS-related problem. This
framework, named GHOST , helps the user to implement his csp /cop model before solving it with the ready-to-use, already-tuned embedded
solver.