Cameron Allen

Cameron Allen is a postdoc at CHAI working with Stuart Russell. Cam studies the computations that enable intelligence. His expertise is mainly in reinforcement learning, planning, observation and action abstraction, representation learning, memory, and factored world modeling. He is especially interested in exploring how abstraction can help tackle problems in value alignment, interpretability, and bounded rationality. Prior to CHAI, Cam completed his PhD at Brown University, advised by George Konidaris, where he studied structured abstractions for general-purpose decision making. You can learn more about Cam’s work at his website.