Evolving neural networks through augmenting topologies KO Stanley, R Miikkulainen Evolutionary computation 10 (2), 99-127, 2002 | 4459 | 2002 |
Abandoning objectives: Evolution through the search for novelty alone J Lehman, KO Stanley Evolutionary computation 19 (2), 189-223, 2011 | 1148 | 2011 |
A hypercube-based encoding for evolving large-scale neural networks KO Stanley, DB D'Ambrosio, J Gauci Artificial life 15 (2), 185-212, 2009 | 1094 | 2009 |
Compositional pattern producing networks: A novel abstraction of development KO Stanley Genetic programming and evolvable machines 8, 131-162, 2007 | 931 | 2007 |
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 | 904 | 2011 |
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 | 887 | 2017 |
Designing neural networks through neuroevolution KO Stanley, J Clune, J Lehman, R Miikkulainen Nature Machine Intelligence 1 (1), 24-35, 2019 | 715 | 2019 |
Exploiting open-endedness to solve problems through the search for novelty. J Lehman, KO Stanley ALIFE, 329-336, 2008 | 688 | 2008 |
A taxonomy for artificial embryogeny KO Stanley, R Miikkulainen Artificial life 9 (2), 93-130, 2003 | 601 | 2003 |
Efficient reinforcement learning through evolving neural network topologies KO Stanley, R Miikkulainen Proceedings of the Genetic and Evolutionary Computation Conference (GECCO …, 2002 | 593* | 2002 |
Competitive coevolution through evolutionary complexification KO Stanley, R Miikkulainen Journal of artificial intelligence research 21, 63-100, 2004 | 557 | 2004 |
Quality diversity: A new frontier for evolutionary computation JK Pugh, LB Soros, KO Stanley Frontiers in Robotics and AI 3, 202845, 2016 | 545 | 2016 |
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 | 532 | 2011 |
Real-time neuroevolution in the NERO video game KO Stanley, BD Bryant, R Miikkulainen IEEE transactions on evolutionary computation 9 (6), 653-668, 2005 | 518 | 2005 |
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 | 419 | 2019 |
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 | 406 | 2018 |
Efficient reinforcement learning through evolving neural network topologies KO Stanley, R Miikkulainen Proceedings of the Genetic and Evolutionary Computation Conference (GECCO …, 2002 | 378 | 2002 |
First return, then explore A Ecoffet, J Huizinga, J Lehman, KO Stanley, J Clune Nature 590 (7847), 580-586, 2021 | 356 | 2021 |
The surprising creativity of digital evolution: A collection of anecdotes from the evolutionary computation and artificial life research communities J Lehman, J Clune, D Misevic, C Adami, L Altenberg, J Beaulieu, ... Artificial life 26 (2), 274-306, 2020 | 326 | 2020 |
Efficient evolution of neural networks through complexification KO Stanley University of Texas at Austin, 2004 | 273 | 2004 |