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Let's Collaborate
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Professor, Department of Computer Science, Faculty of Science. University of British Columbia
Canada CIFAR Artificial Intelligence Chair
Jeff Clune is a Professor of computer science at the University of British Columbia and Canada CIFAR AI Chair at the Vector Institute. Jeff focuses on deep learning, including deep reinforcement learning. His research also focuses on AI Safety, including regulatory recommendations and improving the interpretability of agents. Previously he was a research manager at OpenAI, a Senior Research Manager and founding member of Uber AI Labs (formed after Uber acquired a startup he helped lead), the Harris Associate Professor of Computer Science at the University of Wyoming, and a Research Scientist at Cornell University. He received degrees from Michigan State University (PhD, master’s) and the University of Michigan (bachelor’s). More on Jeff’s research can be found at JeffClune.com or on Twitter (@jeffclune).
Research Interests
Machine learning
Robotics
Deep learning
Deep reinforcement learning
AI Safety & Existential Risk
Publications
Biological underpinnings for lifelong learning machines
Dhireesha Kudithipudi and Mario Aguilar-Simon and Jonathan Babb and Maxim Bazhenov and Douglas Blackiston and Josh Bongard and Andrew P Brna and Suraj Chakravarthi Raja and Nick Cheney and Jeff Clune and Anurag Daram and Stefano Fusi and Peter Helfer and Leslie Kay and Nicholas Ketz and Zsolt Kira and Soheil Kolouri and Jeffrey L Krichmar and Sam Kriegman and Michael Levin and Sandeep Madireddy and Santosh Manicka and Ali Marjaninejad and Bruce McNaughton and Risto Miikkulainen and Zaneta Navratilova and Tej Pandit and Alice Parker and Praveen K Pilly and Sebastian Risi and Terrence J Sejnowski and Andrea Soltoggio and Nicholas Soures and Andreas S Tolias and Darío Urbina-Meléndez and Francisco J Valero-Cuevas and Gido M van de Ven and Joshua T Vogelstein and Felix Wang and Ron Weiss and Angel Yanguas-Gil and Xinyun Zou and Hava Siegelmann
2022
Training neural networks using evolution based strategies and novelty search
Edoardo Conti and Vashisht Madhavan and Jeffrey Michael Clune and Felipe Petroski Such and Joel Anthony Lehman and Kenneth Owen Stanley
2021
OMNI: Open-endedness via Models of human Notions of Interestingness
Jenny Zhang and Joel Lehman and Kenneth Stanley and Jeff Clune
2023
First-Explore, then Exploit: Meta-Learning Intelligent Exploration
Ben Norman and Jeff Clune
2023
Quality Diversity through Human Feedback
Li Ding and Jenny Zhang and Jeff Clune and Lee Spector and Joel Lehman
2023
Reset It and Forget It: Relearning Last-Layer Weights Improves Continual and Transfer Learning
Lapo Frati and Neil Traft and Jeff Clune and Nick Cheney
2023
Thought cloning: Learning to think while acting by imitating human thinking
Shengran Hu and Jeff Clune
2024
Genie: Generative Interactive Environments
Jake Bruce and Michael Dennis and Ashley Edwards and Jack Parker-Holder and Yuge Shi and Edward Hughes and Matthew Lai and Aditi Mavalankar and Richie Steigerwald and Chris Apps and Yusuf Aytar and Sarah Bechtle and Feryal Behbahani and Stephanie Chan and Nicolas Heess and Lucy Gonzalez and Simon Osindero and Sherjil Ozair and Scott Reed and Jingwei Zhang and Konrad Zolna and Jeff Clune and Nando de Freitas and Satinder Singh and Tim Rocktäschel
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