About the talk
In this talk, we’ll share how we used supervised learning to predict one-on-one unit combat outcomes in Creative Assembly’s Total War series. The system aims to improve autoresolver results and help battle AI decide when units should engage or pull back. We’ll walk through how we built an automated in-game simulation environment to gather data, trained our prediction model, results and finally, the challenges we ran into along the way. We’ll also highlight the key takeaways – both from the technical side and from working closely across R&D and development teams.
Bringing together the leading experts in AI for the video games industry.