Kenneth O. Stanley

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Joel LehmanOpenAIVerified email at openai.com
Risto MiikkulainenProfessor of Computer Science, the University of Texas at AustinVerified email at cs.utexas.edu
Jeff CluneAssociate Professor of Computer Science, U. British Columbia; Research Manager, OpenAIVerified email at ubc.ca
Sebastian RisiProfessor, IT University of CopenhagenVerified email at itu.dk
David B. D'AmbrosioGoogleVerified email at eecs.ucf.edu
Jason GauciEngineering Manager, FacebookVerified email at fb.com
Justin K. PughUniversity of Central FloridaVerified email at cs.ucf.edu
Bobby D. BryantUniversity of Nevada, RenoVerified email at unr.edu
Paul SzerlipGraduate Research Assistant, University of Central FloridaVerified email at knights.ucf.edu
Lisa SorosPostdoctoral Researcher, Cross LabsVerified email at nyu.edu
Erin HastingsUniversity of Central FloridaVerified email at cs.ucf.edu
Julian TogeliusAssociate Professor of Computer Science and Engineering, New York University; co-founder, modl.aiVerified email at nyu.edu
Amy K. HooverAssistant Professor of Informatics at New Jersey Institute of TechnologyVerified email at njit.edu
Georgios N. YannakakisProfessor, Director, Inst. of Digital Games, University of Malta | modl.aiVerified email at um.edu.mt
Igor V. KarpovGraduate Student, The University of Texas at AustinVerified email at cs.utexas.edu
Charles OfriaMichigan State UniversityVerified email at cse.msu.edu
Phillip VerbancsicsGoogleVerified email at knights.ucf.edu
Joseph ReisingerThe University of Texas at AustinVerified email at cs.utexas.edu
Andrea SoltoggioComputer Science Department, Loughborough UniversityVerified email at lboro.ac.uk
Charles E HughesProfessor of Computer Science, University of Central FloridaVerified email at cs.ucf.edu

Kenneth O. Stanley

Research Manager, OpenAI

Verified email at openai.com - Homepage

Artificial Intelligence Neuroevolution Neural Networks Evolutionary Computation Artificial Life


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Evolving neural networks through augmenting topologies KO Stanley, R Miikkulainen Evolutionary computation 10 (2), 99-127, 2002	3357	2002
A hypercube-based encoding for evolving large-scale neural networks KO Stanley, DB D'Ambrosio, J Gauci Artificial life 15 (2), 185-212, 2009	798	2009
Abandoning objectives: Evolution through the search for novelty alone J Lehman, KO Stanley Evolutionary computation 19 (2), 189-223, 2011	780	2011
Search-based procedural content generation: A taxonomy and survey J Togelius, GN Yannakakis, KO Stanley, C Browne IEEE Transactions on Computational Intelligence and AI in Games 3 (3), 172-186, 2011	715	2011
Compositional pattern producing networks: A novel abstraction of development KO Stanley Genetic programming and evolvable machines 8 (2), 131-162, 2007	658	2007
A taxonomy for artificial embryogeny KO Stanley, R Miikkulainen Artificial life 9 (2), 93-130, 2003	558	2003
Competitive coevolution through evolutionary complexification KO Stanley, R Miikkulainen Journal of artificial intelligence research 21, 63-100, 2004	514	2004
Exploiting open-endedness to solve problems through the search for novelty. J Lehman, KO Stanley ALIFE, 329-336, 2008	507	2008
Efficient reinforcement learning through evolving neural network topologies KO Stanley, R Miikkulainen Proceedings of the 4th Annual Conference on Genetic and Evolutionary …, 2002	499*	2002
Deep neuroevolution: Genetic algorithms are a competitive alternative for training deep neural networks for reinforcement learning FP Such, V Madhavan, E Conti, J Lehman, KO Stanley, J Clune arXiv preprint arXiv:1712.06567, 2017	482	2017
Real-time neuroevolution in the NERO video game KO Stanley, BD Bryant, R Miikkulainen IEEE transactions on evolutionary computation 9 (6), 653-668, 2005	481	2005
Efficient reinforcement learning through evolving neural network topologies KO Stanley, R Miikkulainen Proceedings of the Genetic and Evolutionary Computation Conference (GECCO …, 2002	346	2002
Efficient reinforcement learning through evolving neural network topologies KO Stanley, R Miikkulainen Proceedings of the Genetic and Evolutionary Computation Conference (GECCO …, 2002	346	2002
Evolving a diversity of virtual creatures through novelty search and local competition J Lehman, KO Stanley Proceedings of the 13th annual conference on Genetic and evolutionary …, 2011	298	2011
Designing neural networks through neuroevolution KO Stanley, J Clune, J Lehman, R Miikkulainen Nature Machine Intelligence 1 (1), 24-35, 2019	273	2019
Efficient evolution of neural networks through complexification KO Stanley University of Texas at Austin, 2004	248	2004
Quality diversity: A new frontier for evolutionary computation JK Pugh, LB Soros, KO Stanley Frontiers in Robotics and AI 3, 40, 2016	227	2016
Picbreeder: evolving pictures collaboratively online J Secretan, N Beato, DB D Ambrosio, A Rodriguez, A Campbell, ... Proceedings of the SIGCHI Conference on Human Factors in Computing Systems …, 2008	215	2008
Automatic Content Generation in the Galactic Arms Race Video Game EJ Hastings, RK Guha, KO Stanley IEEE Transactions on Computational Intelligence and AI in Games 1 (4), 245-263, 2009	209	2009
Improving exploration in evolution strategies for deep reinforcement learning via a population of novelty-seeking agents E Conti, V Madhavan, FP Such, J Lehman, KO Stanley, J Clune arXiv preprint arXiv:1712.06560, 2017	200	2017

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