Recent & Upcoming Talks


Unpacking Reward Shaping: Understanding the Benefits of Reward Engineering on Sample Complexity.

Reinforcement learning provides an automated framework for learning behaviors from high-level reward specifications, but in practice …

On the Statistical Complexity of Batch Learning: Theory and Algorithms

In this work we develop the technique of optimism regularization, a simple way of inducing optimistic predictions in NN models. I show …


February 2023