latest ai research in rts games
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LATEST AI RESEARCH IN RTS GAMES
Omar Khaled Enayet – July 2009
Index
Why is AI Development Slow in RTS-Games. AI Areas needing more research. Adaptation
Planning. Case-Based Planning. PDDL.
Learning. Dynamic Scripting. Reinforcement Learning.
Hierarchal Reinforcement Learning. Monte-Carlo Method. Temporal Difference Learning. Q-learning. Evolution Algorithms.
Hybrid CBR-RL. Opponent Modeling.
Introduction
Planning is beginning to appear in commercial games such as DemiGod and Latest Total War Game.
Learning has limited success so far.
Case Based Planning
CBR + planning
PDDL
See Slides
Machine Learning
See Wikipedia
Reinforcement Learning
See Tutorial In 2008 Eric Kok’s thesis : Monte Carlo
and Dynamic Scripting
Monte-Carlo Method
Temporal Difference Learning
Q-Learning
Hybrid CBR-RL
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