Risto Miikkulainen

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Risto Miikkulainen

Risto Miikkulainen,
a Finnish American computer scientist and professor at the University of Texas at Austin. He holds a Ph.D. in computer science from University of California, Los Angeles under Michael G. Dyer on the topic of distributed artificial neural networks. His research focuses on biologically-inspired computation such as neuroevolution, i.e. evolving neural networks with genetic algorithms for sequential decision tasks such as robotics, games, and artificial life.

Selected Publications

1990 ...

• Risto Miikkulainen (1990). DISCERN: A Distributed Artificial Neural Network Model of Script Processing and Memory. Ph.D. thesis, University of California, Los Angeles, advisor Michael G. Dyer
• David E. Moriarty, Risto Miikkulainen (1994). Improving Game-Tree Search with Evolutionary Neural Networks. ICEC 1994
• David E. Moriarty, Risto Miikkulainen (1994). Evolving Neural Networks to focus Minimax Search. AAAI-94, pdf » Othello
• David E. Moriarty, Risto Miikkulainen (1996). Efficient Reinforcement Learning through Symbiotic Evolution. Machine Learning, Vol. 22
• Norman Richards, David E. Moriarty, Risto Miikkulainen (1998). Evolving Neural Networks to Play Go. Applied Intelligence, Vol. 8, No. 1

2000 ...

• Kenneth O. Stanley, Risto Miikkulainen (2002). Evolving Neural Networks Through Augmenting Topologies. Evolutionary Computation, Vol. 10, No. 2
• Kenneth O. Stanley, Risto Miikkulainen (2004). Evolving a Roving Eye for Go. GECCO 2004
• Alan J. Lockett, Charles L. Chen, Risto Miikkulainen (2007). Evolving Explicit Opponent Models for Game Play. GECCO 2007
• Joseph Reisinger, Erkin Bahçeci, Igor Karpov, Risto Miikkulainen (2007). Coevolving Strategies for General Game Playing. CIG 2007
• Erkin Bahçeci, Risto Miikkulainen (2008). Transfer of Evolved Pattern-Based Heuristics in Games. CIG 2008
• Alan J. Lockett, Risto Miikkulainen (2008). Evolving Opponent Models for Texas Hold 'Em. CIG 2008

2010 ...

• Alan J. Lockett, Risto Miikkulainen (2011). Real-Space Evolutionary Annealing. GECCO 2011
• Risto Miikkulainen (2013). Evolving Neural Networks. IJCNN 2013, pdf
• John Levine, Clare Bates Congdon, Marc Ebner, Graham Kendall, Simon Lucas, Risto Miikkulainen, Tom Schaul, Tommy Thompson (2013). General Video Game Playing. Artificial and Computational Intelligence in Games 2013, pdf
• Alan J. Lockett, Risto Miikkulainen (2013). A Measure-Theoretic Analysis of Stochastic Optimization. FOGA 2013
• Alan J. Lockett, Risto Miikkulainen (2014). Evolutionary Annealing: Global Optimization in Arbitrary Measure Spaces. Journal of Global Optimization, Vol. 58
• Alexander Braylan, Mark Hollenbeck, Elliot Meyerson, Risto Miikkulainen (2015). Reuse of Neural Modules for General Video Game Playing. arXiv:1512.01537
• Risto Miikkulainen, et al. (2017). Evolving Deep Neural Networks. arXiv:1703.00548
• Aditya Rawal, Risto Miikkulainen (2018). From Nodes to Networks: Evolving Recurrent Neural Networks. arXiv:1803.04439
• Risto Miikkulainen (2019). Creative AI Through Evolutionary Computation. arXiv:1901.03775
• Santiago Gonzalez, Risto Miikkulainen (2019). Improved Training Speed, Accuracy, and Data Utilization Through Loss Function Optimization. arXiv:1905.11528

2020 ...

• Garrett Bingham, William Macke, Risto Miikkulainen (2020). Evolutionary Optimization of Deep Learning Activation Functions. arXiv:2002.07224
• Jason Liang, Santiago Gonzalez, Risto Miikkulainen (2020). Population-Based Training for Loss Function Optimization. arXiv:2002.04225

External Links

• Risto Miikkulainen from Wikipedia
• NNRG People - Risto Miikkulainen
• Risto Miikkulainen - The Mathematics Genealogy Project

References

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