Character Control with Neural Networks and Machine Learning

Character Control with Neural Networks and Machine Learning

Explore how data-driven systems can revolutionize character animation in game development through this 2018 GDC talk by Ubisoft's Daniel Holden. Discover techniques for reducing complexity and manpower in building animation systems for character control using neural networks and machine learning. Delve into topics such as data separation, fuzzy matching, generalization, and the fundamentals of neural networks. Learn about practical applications, including quadruped training, overlays, and incremental training. Gain insights into switching between different systems, fine-tuning, and layering techniques. Understand the process of creating and managing training data for neural network-based animation systems.