Jeff Clune

Faculty Member

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