Fall 2020

Statistical Considerations in Reinforcement Learning (Part 2): Emerging Application Areas and Challenges

Wednesday, September 2nd, 2020 2:00 pm3:00 pm

Add to Calendar


Eric Laber (North Carolina State University)

In the second half of this tutorial, we introduce a number of open problems in statistical reinforcement learning. These include testing a parsimonious model against a nonparametric alternative; spatio-temporal decision problems; and doubly-robust methods for combining model-based and model-free methods. We introduce each problem and, in most cases, present partial solutions while identifying remaining technical and conceptual challenges.