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Jeff Clune, Ph.D.

Affiliations: 
Computer Science University of Wyoming, Laramie, WY, United States 
Area:
Evolving Artificial Intelligence, Evolutionary Computation, Neural Networks, Computational Evolutionary Biology, Digital Evolution, Artificial Life, Robotics
Website:
http://JeffClune.com
Google:
"Jeff Clune"
Bio:

I am an Assistant Professor of Computer Science at the University of Wyoming.

I study evolutionary computation, a technology that harnesses natural selection to evolve, instead of engineer, artificial intelligence, robots, and physical designs.

Please visit JeffClune.com for more information.

Cross-listing: Robotree

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Parents

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Charles Ofria grad student 2003-2010 Michigan State
 (Evolving artificial neural networks with generative encodings inspired by developmental biology.)
Robert T. Pennock grad student 2003-2010 Michigan State
Hod Lipson post-doc 2010-2012 Cornell

Children

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Joost Huizinga grad student 2013- University of Wyoming

Collaborators

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Richard E. Lenski collaborator Michigan State
Jean-Baptiste Mouret collaborator New York Presbyerian Hospital- Weill Cornell Medical Center
Kennet O. Stanley collaborator 2009-2011 Cornell
 (Clune J, Stanley KO, Pennock RT, Ofria C (2011) On the performance of indirect encoding across the continuum of regularity. IEEE Transactions on Evolutionary Computation. 15(3): 346-367. http://goo.gl/qYHPR)
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Publications

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Huizinga J, Clune J. (2021) Evolving Multimodal Robot Behavior via Many Stepping Stones with the Combinatorial Multi-Objective Evolutionary Algorithm. Evolutionary Computation. 1-34
Ecoffet A, Huizinga J, Lehman J, et al. (2021) First return, then explore. Nature. 590: 580-586
Lehman J, Clune J, Misevic D. (2020) The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities. Artificial Life. 1-33
Stanley KO, Clune J, Lehman J, et al. (2019) Designing neural networks through neuroevolution Nature Machine Intelligence. 1: 24-35
Huizinga J, Stanley KO, Clune J. (2018) The Emergence of Canalization and Evolvability in an Open-Ended, Interactive Evolutionary System. Artificial Life. 24: 157-181
Kouvaris K, Clune J, Kounios L, et al. (2017) How evolution learns to generalise: Using the principles of learning theory to understand the evolution of developmental organisation. Plos Computational Biology. 13: e1005358
Helms L, Clune J. (2017) Improving HybrID: How to best combine indirect and direct encoding in evolutionary algorithms. Plos One. 12: e0174635
Stanton C, Clune J. (2016) Curiosity Search: Producing Generalists by Encouraging Individuals to Continually Explore and Acquire Skills throughout Their Lifetime. Plos One. 11: e0162235
Taylor T, Auerbach JE, Bongard J, et al. (2016) WebAL Comes of Age: A Review of the First 21 Years of Artificial Life on the Web. Artificial Life. 364-407
Nguyen A, Yosinski J, Clune J. (2016) Understanding Innovation Engines: Automated Creativity and Improved Stochastic Optimization via Deep Learning. Evolutionary Computation
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