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Risto Miikkulainen

Affiliations: 
University of Texas at Austin, Austin, Texas, U.S.A. 
Area:
Neural and Cognitive Modeling
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"Risto Miikkulainen"
Mean distance: 15.37 (cluster 29)
 
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Parents

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Michael G. Dyer grad student 1990 UC Irvine

Children

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Yoonsuck Choe grad student 2001 UT Austin
Paul H. McQuesten grad student 2002 UT Austin
James A. Bednar grad student 1995-2002 UT Austin
Faustino J. Gomez grad student 2003 UT Austin
Marshall R. Mayberry grad student 2003 UT Austin
Harold H. Chaput grad student 2004 UT Austin
Kenneth O. Stanley grad student 2004 UT Austin
Elizabeth C. Kaczmarczyk grad student 2005 UT Austin
Bobby D. Bryant grad student 2006 UT Austin
Matthew E. Alden grad student 2007 UT Austin
Jefferson Provost grad student 2007 UT Austin
Judah Ben De Paula grad student 2004-2007 UT Austin
Tal Tversky grad student 2008 UT Austin
Nate F. Kohl grad student 2009 UT Austin
Yiu F. Sit grad student 2009 UT Austin
Manish Saggar grad student 2005-2011 UT Austin

Collaborators

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Ralph Hoffman collaborator (PsychTree)
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Publications

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Stanley KO, Clune J, Lehman J, et al. (2019) Designing neural networks through neuroevolution Nature Machine Intelligence. 1: 24-35
Miikkulainen R, Hodjat B, Qiu X, et al. (2018) Evolution is the new deep learning Acm Sigevolution. 11: 3-7
Schrum J, Miikkulainen R. (2016) Discovering Multimodal Behavior in Ms. Pac-Man through Evolution of Modular Neural Networks. Ieee Transactions On Computational Intelligence and Ai in Games. 8: 67-81
Saggar M, Zanesco AP, King BG, et al. (2015) Mean-field thalamocortical modeling of longitudinal EEG acquired during intensive meditation training. Neuroimage. 114: 88-104
Li X, Miikkulainen R. (2014) Evolving Multimodal Behavior Through Subtask and Switch Neural Networks Artificial Life. 439-446
Hausknecht M, Lehman J, Miikkulainen R, et al. (2014) A neuroevolution approach to general atari game playing Ieee Transactions On Computational Intelligence and Ai in Games. 6: 355-366
Alden M, Miikkulainen R. (2014) MARLEDA: Effective distribution estimation through Markov random fields Theoretical Computer Science
Lehman J, Stanley KO, Miikkulainen R. (2013) Effective diversity maintenance in deceptive domains Gecco 2013 - Proceedings of the 2013 Genetic and Evolutionary Computation Conference. 215-222
Saggar M, King BG, Zanesco AP, et al. (2012) Intensive training induces longitudinal changes in meditation state-related EEG oscillatory activity. Frontiers in Human Neuroscience. 6: 256
Kohl N, Miikkulainen R. (2012) An integrated neuroevolutionary approach to reactive control and high-level strategy Ieee Transactions On Evolutionary Computation. 16: 472-488
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