Research


Interests: Reinforcement Learning, Imitation Learning

Projects


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 are trying to leverage rankings of demonstrations in IRL to perform better than standard methods.



Talks