Reinforcement Learning for Agents - Will Brown, ML Researcher at Morgan Stanley

Reinforcement Learning for Agents - Will Brown, ML Researcher at Morgan Stanley

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Reinforcement Learning for Agents - Will Brown, ML Researcher at Morgan Stanley
Recorded live at the Agent Engineering Session Day from the AI Engineer Summit 2025 in New York. Learn more at https://ai.engineer and purchase tickets to our next event, the AI Engineer World's Fair, in SF June 3 - 5 here: https://ti.to/software-3/ai-engineer-worlds-fair-2025 About Will Hi! I’m a machine learning researcher based in New York City. I am a member of Morgan Stanley’s Machine Learning Research group, where I have been primarily working on projects related to language models and sequential prediction. I completed my PhD (CS) at Columbia, where I was fortunate to be co-advised by Christos Papadimitriou and Tim Roughgarden. Before that, I was an undergrad (CS + philosophy) and masters (DS) student at Penn, and I’ve spent time in research and engineering roles at AWS, Two Sigma, MongoDB, and AmFam