Interests: Reinforcement Learning, Imitation Learning. I'm hoping to learn more about neuroevolution and robotics.


Deep Reinforcement Learning

My Master's thesis focused on reproducibility in deep reinforcement learning. Specifically, I studied the impact of nondeterminism in algorithm implementations on our ability to reproduce results.

Inverse Reinforcement Learning

We leverage ranked demonstrations to improve upon a suboptimal demonstrator in high-dimensional deep reinforcement learning tasks.