Difference between revisions of "Risto Miikkulainen"
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* [[Risto Miikkulainen]] ('''1990'''). ''DISCERN: A Distributed Artificial Neural Network Model of Script Processing and Memory''. Ph.D. thesis, [https://en.wikipedia.org/wiki/University_of_California,_Los_Angeles University of California, Los Angeles], advisor [[Mathematician#MGDyer|Michael G. Dyer]] | * [[Risto Miikkulainen]] ('''1990'''). ''DISCERN: A Distributed Artificial Neural Network Model of Script Processing and Memory''. Ph.D. thesis, [https://en.wikipedia.org/wiki/University_of_California,_Los_Angeles University of California, Los Angeles], advisor [[Mathematician#MGDyer|Michael G. Dyer]] | ||
* [[David E. Moriarty]], [[Risto Miikkulainen]] ('''1994'''). ''[https://ieeexplore.ieee.org/document/349900 Improving Game-Tree Search with Evolutionary Neural Networks]''. [https://dblp.uni-trier.de/db/conf/icec/icec1994-1.html ICEC 1994] | * [[David E. Moriarty]], [[Risto Miikkulainen]] ('''1994'''). ''[https://ieeexplore.ieee.org/document/349900 Improving Game-Tree Search with Evolutionary Neural Networks]''. [https://dblp.uni-trier.de/db/conf/icec/icec1994-1.html ICEC 1994] | ||
| − | * [[David E. Moriarty]], [[Risto Miikkulainen]] ('''1994'''). ''Evolving Neural Networks to focus Minimax Search''. [[Conferences#AAAI-94|AAAI-94]], [http:// | + | * [[David E. Moriarty]], [[Risto Miikkulainen]] ('''1994'''). ''[http://nn.cs.utexas.edu/?moriarty:aaai94 Evolving Neural Networks to focus Minimax Search]''. [[Conferences#AAAI-94|AAAI-94]] » [[Othello]] |
| + | * [[David E. Moriarty]], [[Risto Miikkulainen]] ('''1995'''). ''[http://nn.cs.utexas.edu/?moriarty:connsci95 Discovering Complex Othello Strategies Through Evolutionary Neural Networks]''. [https://www.scimagojr.com/journalsearch.php?q=24173&tip=sid Connection Science], Vol. 7 | ||
* [[David E. Moriarty]], [[Risto Miikkulainen]] ('''1996'''). ''[https://link.springer.com/article/10.1023/A:1018004120707 Efficient Reinforcement Learning through Symbiotic Evolution]''. [https://en.wikipedia.org/wiki/Machine_Learning_(journal) Machine Learning], Vol. 22 | * [[David E. Moriarty]], [[Risto Miikkulainen]] ('''1996'''). ''[https://link.springer.com/article/10.1023/A:1018004120707 Efficient Reinforcement Learning through Symbiotic Evolution]''. [https://en.wikipedia.org/wiki/Machine_Learning_(journal) Machine Learning], Vol. 22 | ||
* [[Norman Richards]], [[David E. Moriarty]], [[Risto Miikkulainen]] ('''1998'''). ''[http://nn.cs.utexas.edu/?richards:apin98 Evolving Neural Networks to Play Go]''. [https://www.springer.com/journal/10489 Applied Intelligence], Vol. 8, No. 1 | * [[Norman Richards]], [[David E. Moriarty]], [[Risto Miikkulainen]] ('''1998'''). ''[http://nn.cs.utexas.edu/?richards:apin98 Evolving Neural Networks to Play Go]''. [https://www.springer.com/journal/10489 Applied Intelligence], Vol. 8, No. 1 | ||
Revision as of 14:44, 14 July 2020
Home * People * Risto Miikkulainen
Risto Miikkulainen [1]
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.
Contents
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 » Othello
- David E. Moriarty, Risto Miikkulainen (1995). Discovering Complex Othello Strategies Through Evolutionary Neural Networks. Connection Science, Vol. 7
- 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
