IFML Seminar: 10/25/24 - Representation-based Reinforcement Learning

Abstract: Reinforcement learning often faces a trade-off between model flexibility and computational tractability. Flexible models can capture complex dynamics and policy but often introduce nonlinearity, making planning and exploration challenging. In this talk, we...