Kenny Young

I am a PhD candidate with Rich Sutton in the RLAI group at the University of Alberta.

My research is broadly focused on uncovering the general principles behind intelligent behaviour and figuring out how to implement them algorithmically.

To this end, I am currently particularly interested in exploring the potential of model-based reinforcement learning and planning to allow agents to synthesize their experiences into novel predictions in order to efficiently learn how to act in the world.

You can reach me by email at kjyoung@ualberta.ca.

github / google scholar / linkedin / twitter