Designing a Reinforcement Learning-Based Adaptive AI for Large-Scale Strategy Games
Charles Andrye Galvao Madeira, Vincent Corruble, Geber Lisboa Ramalho · Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment · 2006
This paper investigates the challenges posed by the application of reinforcement learning to large-scale strategy games. In this context, we present steps and techniques which synthesize new ideas with state-of-the-art techniques from several areas of machine learning in a novel integrated learning approach for this kind of games. The performance of the approach is demonstrated on the task of learning valuable game strategies for a commercial wargame.