Hello there! I'm Jacob Buckman, currently a PhD student at MILA advised by Marc Bellemare and Doina Precup.
My primary research area is deep reinforcement learning. I'm especially interested in working towards sample-efficiency. My current work focuses on finite-sample guarantees and latent-space modeling.
I graduated from Carnegie Mellon University in 2017 with a Bachelor's in computer science and a Master's in Language Technologies, advised by Graham Neubig. From 2017-2018, I was a Google AI Resident in San Francisco.
Website template stolen with love from Desh.
My primary research area is deep reinforcement learning. I'm especially interested in working towards sample-efficiency. My current work focuses on finite-sample guarantees and latent-space modeling.
I graduated from Carnegie Mellon University in 2017 with a Bachelor's in computer science and a Master's in Language Technologies, advised by Graham Neubig. From 2017-2018, I was a Google AI Resident in San Francisco.
Website template stolen with love from Desh.