Publication
Algorithms
Publication
Private Algorithms Can Always Be Extended
Video
Policy Optimization as Predictable Online Learning Problems: Imitation Learning and Beyond
Efficient policy optimization is fundamental to solving real-world reinforcement learning problems, where agent-environment interactions can be costly. In this talk, I will discuss my recent research toward improving policy optimization efficiency from the perspective of…
Video
Reinforcement Learning: Bringing Together Computation, Behavior and Neural Coding
Reinforcement learning carries subtly different meanings in machine learning, cognitive science and neuroscience. In this talk, I will try to clarify in which ways the concepts overlap and in which ways they differ. I will…
Video
The 20th Northwest Probability Seminar: Stochastic Explosions in Branching Processes and Non-uniqueness for Nonlinear PDE
We will discuss stochastic processes, Le Jan-Sznitman cascades, that can be associated with certain nonlinear PDE and how explosion of these cascades can be exploited to prove non-uniques for the associated Cauchy problems. In particular,…
