Talks
Fall 2020
![](https://old.simons.berkeley.edu/sites/default/files/styles/workshop_main/public/theory_of_reinforcement_learning_0.png?itok=2qgh3N76)
Statistical Considerations in Reinforcement Learning (Part 2): Emerging Application Areas and Challenges
Wednesday, September 2nd, 2020, 2:00 pm–3:00 pm
Speaker:
Eric Laber (North Carolina State University)
Location:
Zoom
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.