Designing a Reinforcement Learning-Based Adaptive AI for Large-Scale Strategy Games
DOI:
https://doi.org/10.1609/aiide.v2i1.18759Abstract
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.
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Published
2021-09-29
How to Cite
Madeira, C., Corruble, V., & Ramalho, G. (2021). Designing a Reinforcement Learning-Based Adaptive AI for Large-Scale Strategy Games. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2(1), 121-123. https://doi.org/10.1609/aiide.v2i1.18759
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Section
Poster Papers