René's URL Explorer Experiment

Title: Jesse Farebrother

Open Graph Title: Jesse Farebrother

X Title: Jesse Farebrother

Description: Jesse Farebrother is a PhD student at Mila / McGill University supervised by Marc G. Bellemare and Doina Precup. Currently, he is interning at Meta FAIR in Paris, working with Ahmed Touati on behavior foundation models. Previously, he spent time as student researcher at Google DeepMind collaborating with Pablo Samuel Castro and Rishabh Agarwal. Jesse completed his undergraduate studies at the University of Alberta where he had the privilege of working with Marlos C. Machado and Michael Bowling . His research interests lie at the intersection of deep learning and reinforcement learning. Specifically, leveraging large-scale unsupervised pre-training to learn foundation models for behavior with the goal of enabling the real-world deployment of intelligent decision making agents.

Open Graph Description: Jesse Farebrother is a PhD student at Mila / McGill University supervised by Marc G. Bellemare and Doina Precup. Currently, he is interning at Meta FAIR in Paris, working with Ahmed Touati on behavior foundation models. Previously, he spent time as student researcher at Google DeepMind collaborating with Pablo Samuel Castro and Rishabh Agarwal. Jesse completed his undergraduate studies at the University of Alberta where he had the privilege of working with Marlos C. Machado and Michael Bowling . His research interests lie at the intersection of deep learning and reinforcement learning. Specifically, leveraging large-scale unsupervised pre-training to learn foundation models for behavior with the goal of enabling the real-world deployment of intelligent decision making agents.

X Description: Jesse Farebrother is a PhD student at Mila / McGill University supervised by Marc G. Bellemare and Doina Precup. Currently, he is interning at Meta FAIR in Paris, working with Ahmed Touati on behavior foundation models. Previously, he spent time as student researcher at Google DeepMind collaborating with Pablo Samuel Castro and Rishabh Agarwal. Jesse completed his undergraduate studies at the University of Alberta where he had the privilege of working with Marlos C. Machado and Michael Bowling . His research interests lie at the intersection of deep learning and reinforcement learning. Specifically, leveraging large-scale unsupervised pre-training to learn foundation models for behavior with the goal of enabling the real-world deployment of intelligent decision making agents.

Keywords:

• Jesse Farebrother
• Arcade Learning Environment
• Reinforcement Learning
• Artificial Intelligence
• Machine Learning
• Mila - Quebec AI Institute
• Mila
• McGill University
• University of Alberta
• UAlberta
• Alberta Machine Intelligence Institute
• Amii
• Student Researcher
• Scientist
• Google Brain
• Google DeepMind
• Meta
• Meta FAIR
• Behavior Foundation Models
• Deep Learning

X: @jessefarebro

Generator: Astro v4.16.8

direct link

Domain: brosa.ca

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