Designing a Reinforcement Learning-based Adaptive AI for Large-Scale Strategy Games

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.

• Type: Conference
• Year: 2006
• Where: AIIDE
• Authors: Charles A. G. Madeira, Vincent Corruble, Geber Ramalho
• Keywords: AIIDE 2006, Artificial Intelligence, Integrated Learning, Large-scale Strategy Games, Reinforcement Learning