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 unifying theoretical reinforcement learning with practical deep-learning-based algorithms. 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 unifying theoretical reinforcement learning with practical deep-learning-based algorithms. 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.