Tags: Colloquium Series

The Statistics Department hosts weekly colloquia on a variety of statistcal subjects, bringing in speakers from around the world.

Statistics and Optimization in Reinforcement Learning Reinforcement Learning (RL) is a mathematical framework to develop intelligent agents that can learn the optimal behaviour that maximizes the cumulative reward by interacting with the environment. There are numerous successful applications in many fields. Statistics and optimization are becoming important tools for RL. In this talk, we will look at two of our recent developments. In the first…