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Kenneth O. Stanley
Kenneth O. Stanley
Research Manager, OpenAI
Verified email at openai.com - Homepage
Title
Cited by
Cited by
Year
Evolving neural networks through augmenting topologies
KO Stanley, R Miikkulainen
Evolutionary computation 10 (2), 99-127, 2002
37132002
Abandoning objectives: Evolution through the search for novelty alone
J Lehman, KO Stanley
Evolutionary computation 19 (2), 189-223, 2011
8842011
A hypercube-based encoding for evolving large-scale neural networks
KO Stanley, DB D'Ambrosio, J Gauci
Artificial life 15 (2), 185-212, 2009
8822009
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
7562011
Compositional pattern producing networks: A novel abstraction of development
KO Stanley
Genetic programming and evolvable machines 8 (2), 131-162, 2007
7372007
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
6092017
A taxonomy for artificial embryogeny
KO Stanley, R Miikkulainen
Artificial life 9 (2), 93-130, 2003
5732003
Exploiting open-endedness to solve problems through the search for novelty.
J Lehman, KO Stanley
ALIFE, 329-336, 2008
5622008
Efficient reinforcement learning through evolving neural network topologies
KO Stanley, R Miikkulainen
Proceedings of the 4th Annual Conference on genetic and evolutionary …, 2002
540*2002
Competitive coevolution through evolutionary complexification
KO Stanley, R Miikkulainen
Journal of artificial intelligence research 21, 63-100, 2004
5242004
Real-time neuroevolution in the NERO video game
KO Stanley, BD Bryant, R Miikkulainen
IEEE transactions on evolutionary computation 9 (6), 653-668, 2005
4972005
Designing neural networks through neuroevolution
KO Stanley, J Clune, J Lehman, R Miikkulainen
Nature Machine Intelligence 1 (1), 24-35, 2019
4132019
Efficient reinforcement learning through evolving neural network topologies
KO Stanley, R Miikkulainen
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO …, 2002
3672002
Efficient reinforcement learning through evolving neural network topologies
KO Stanley, R Miikkulainen
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO …, 2002
3672002
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
3562011
Quality diversity: A new frontier for evolutionary computation
JK Pugh, LB Soros, KO Stanley
Frontiers in Robotics and AI 3, 40, 2016
2932016
Efficient evolution of neural networks through complexification
KO Stanley
University of Texas at Austin, 2004
2652004
Improving exploration in evolution strategies for deep reinforcement learning via a population of novelty-seeking agents
E Conti, V Madhavan, F Petroski Such, J Lehman, K Stanley, J Clune
Advances in neural information processing systems 31, 2018
2602018
Go-explore: a new approach for hard-exploration problems
A Ecoffet, J Huizinga, J Lehman, KO Stanley, J Clune
arXiv preprint arXiv:1901.10995, 2019
2512019
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
2302008
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