Kenneth O. Stanley, Ph.D.
Affiliations: | University of Texas at Austin, Austin, Texas, U.S.A. |
Area:
Neural and Cognitive ModelingGoogle:
"Kenneth Stanley"Mean distance: 17.39 (cluster 29)
Parents
Sign in to add mentorRisto Miikkulainen | grad student | 2004 | UT Austin | |
(Efficient evolution of neural networks through complexification.) |
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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 |
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 |
Soltoggio A, Stanley KO, Risi S. (2018) Born to learn: The inspiration, progress, and future of evolved plastic artificial neural networks. Neural Networks : the Official Journal of the International Neural Network Society. 108: 48-67 |
Stanley K, Pugh J, Bowren J. (2016) Fully Autonomous Real-Time Autoencoder-Augmented Hebbian Learning through the Collection of Novel Experiences Artificial Life. 382-389 |
Lehman J, Wilder B, Stanley KO. (2016) On the Critical Role of Divergent Selection in Evolvability Frontiers in Robotics and Ai. 3 |
Pugh JK, Soros LB, Stanley KO. (2016) Quality Diversity: A New Frontier for Evolutionary Computation Frontiers in Robotics and Ai. 3 |
Morse G, Stanley KO. (2016) Simple evolutionary optimization can rival stochastic gradient descent in neural networks Gecco 2016 - Proceedings of the 2016 Genetic and Evolutionary Computation Conference. 477-484 |
Risi S, Lehman J, D'Ambrosio DB, et al. (2016) Petalz: Search-Based Procedural Content Generation for the Casual Gamer Ieee Transactions On Computational Intelligence and Ai in Games. 8: 244-255 |
Szerlip P, Stanley KO. (2015) Indirectly Encoding Running and Jumping Sodarace Creatures for Artificial Life. Artificial Life. 21: 432-444 |
Wilder B, Stanley K. (2015) Reconciling explanations for the evolution of evolvability Adaptive Behavior. 23: 171-179 |