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| Jeff Clune |
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Bio
Jeff Clune is an Associate Professor of Computer Science at the University of British Columbia, a Canada CIFAR AI Chair and Faculty Member at the Vector Institute, and a Senior Research Advisor at DeepMind.
Previously, he was a Research Team Leader at OpenAI. Before that he was a Senior Research Manager and founding member of Uber AI Labs. Prior to Uber, he was the Loy and Edith Harris Associate Professor in Computer Science at the University of Wyoming.
He conducts research in three related areas of machine learning : Deep Learning, Evolving Neural Networks, and Robotics.
Google scholar page • Personal webpage
Talk
Foundation models (e.g. large language models) create exciting new opportunities in our longstanding quests to produce open-ended and AI-generating algorithms. In this talk I will share some of our recent work harnessing the power of foundation models to make progress in these areas. I will cover three of our more recent papers: (1) OMNI: Open-endedness via Models of human Notions of Interestingness, (2) Video Pre-Training (VPT), and (3) Thought Cloning: Learning to Think while Acting by Imitating Human Thinking.