In BYU’s Perception, Control and Cognition Laboratory, our goal is to build agents that perform at human levels in complex tasks. To accomplish this, we are building abstract, cognitively inspired models of the world, implementing them in a new, scalable probabilistic programming language, and using them to create model-based deep RL algorithms.
