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Jeff Clune - Professor - Computer Science - University of British Columbia

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Homepage for Jeff Clune, Professor of Computer Science at the University of British Columbia. I conduct research in deep learning, including deep reinforcement learning. I improve our understanding of deep neural networks, harness them in novel applications (such as helping biologists conserve and better understand wildlife), and advance deep reinforcement learning, especially improving its ability to intelligently explore. Mostly now former research and science interests include evolutionary aglorithms, evolutionary computation, genetic algorithms, generative encodings, indirect encodings, developmental encodings, artificial embryology, generative representations, developmental representations, indirect representations, HyperNEAT, NEAT, CPPNs, Compositional Pattern Producing Networks, Endless Forms, EndlessForms, EndlessForms.com, Interactive evolution, evolutionary design, evolving artificial intelligence, artificial intelligence, evolving artificial neural networks, evolving artificial neural networks, AI, altruism, evolvability.

Jeff Clune - Professor - Computer Science - University of British Columbia Jeff Clune Co-founder, Recursive Professor, Computer Science, University of British Columbia Canada CIFAR AI Chair and Faculty Member, Vector Institute Research Talks & Videos Publications Press Coverage Positions Available --> CV (pdf) Code Personal Riddles Bio Join Contact Subscribe Courses --> Outreach --> Donate --> Research This page describes my research areas. Please see my bio for work history and related information. I conduct research in deep learning and deep reinforcement learning, including open-ended and A

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