Interview with Karl Cobbe, Open AI and George Lawton, Tech Target
This interview took place at the Deep Learning Summit in San Francisco this June, 2019.
Karl Cobbe is currently a research scientist at OpenAI. He received his BS in computer science with distinction from Stanford University in 2014. He first joined OpenAI as a research fellow, working under the mentorship of John Schulman. His research primarily focuses on generalization and transfer in deep reinforcement learning. Karl is particularly interested in leveraging procedural generation to create diverse training environments, to better investigate the limitations of current algorithms and the factors that lead to overfitting.
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