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).
Professor, Department of Computer Science, Faculty of Science. University of British Columbia
Canada CIFAR Artificial Intelligence Chair
Research Interests
- Machine learning
- Robotics
- Deep learning
- Deep reinforcement learning
- AI Safety & Existential Risk
Publications
Biological underpinnings for lifelong learning machines
2022
Training neural networks using evolution based strategies and novelty search
2021
OMNI: Open-endedness via Models of human Notions of Interestingness
2023
First-Explore, then Exploit: Meta-Learning Intelligent Exploration
2023
Quality Diversity through Human Feedback
2023
Reset It and Forget It: Relearning Last-Layer Weights Improves Continual and Transfer Learning
2023
Thought cloning: Learning to think while acting by imitating human thinking
2024
Genie: Generative Interactive Environments
2024