David Lindner

David is a masters student at ETH Zurich working on reinforcement learning. Broadly, his research is concerned with building reliable intelligent systems that interact with the world. Recently he has been interested in learning robust reward functions from human feedback and ways to reason about the uncertainty an RL agent has about its reward function. At CHAI, David is working with Rohin Shah on inferring human preferences from the current state of the world in complex environments. In the past, he has done work in condensed matter physics, network optimization, computational social science and bias in machine learning. His website is davidlindner.me.