Craig Sherstan

AI Research Scientist with 10+ years of experience specializing in Reinforcement Learning (RL) and predictive modeling. Proven track record of applying RL to gaming and robotics, including leading contributions to GT Sophy, an AI agent that outperformed human champions in Gran Turismo. Published extensively in top conferences such as NeurIPS, AAAI, and Nature. Passionate about solving real-world problems through cutting-edge AI technologies.

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Accelerating Learning in Constructive Predictive Frameworks with the Successor Representation

I’ve got a new paper with Marlos C. Machado and Patrick M. Pilarski on using the successor representation to speed up learning of incrementally added general value functions.

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First Tokyo AI RL Talk

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I recently gave a talk at the first Reinforcement Learning focused session of Tokyo AI Talks.I gave a 10 minute introduction to RL and then talked about GT S...

ALA 2020: Temporally Extended Auxiliary Tasks

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My paper “Work in Progress: Temporally Extended Auxiliary Tasks” has been accepted to the Adaptive and Learning Agents workshop at AAMAS 2020.This work was d...

Candidacy Passed!

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This is a bit old, but I successfully passed my PhD candidacy exam back in November, 2018. So all I have left to graduate is to finish my research (which is ...