Developing agents capable of modeling complex environments and human behaviors within them is a key goal of artificial intelligence research. Progress towards this goal has exciting potential for applications in areas such as video games and embodied AI. This talk focuses on recent advances of my team, the Game Intelligence team at Microsoft Research, towards scalable machine learning architectures that effectively model human gameplay data and complex 3D environments.

- part of Session 3 "Generative AI in Robotics and Big Data" -