CHAI graduate students Rohin Shah, Adam Gleave, Daniel Filan, and Dylan Hadfield-Menell, along with interns Matthew Rahtz and Aaron Tucker, attended the NeurIPS 2018 Conference, where they presented papers, met with researchers, and learned about work in the rest of the field.

Aaron and Adam presented Inverse reinforcement learning for video games at the Deep RL workshop, while Rohin presented The Implicit Preference Information in an Initial State at the Deep RL and Learning by Instruction workshops.