Welcome! This is Josef Spujt and Debbie Yuen!

This hands-on lab session focuses on sharing the art and value of decision-making systems and pathfinding algorithms for machine learning applications. Understanding theoretical frameworks and heuristic strategies is necessary to build a foundational understanding of AI for research, games, and beyond. Through game development, we experience a snippet of AI by visualizing pathfinding algorithms, an entry point to exploring any AI domain.

Together, we visualize the applications and influence of real-time pathfinding through programmatically modeling in Unreal Engine 5 (UE5). This comes together as an open-world game compatible with their preferred platform including WebGL, iOS/Android, and VR headsets.

Please visit our GitHub repository for a complete sample of the project and the 3D model of Pixel on the SIGGRAPH webpage.