متابعة
Kenneth O. Stanley
Kenneth O. Stanley
Research Manager, OpenAI
بريد إلكتروني تم التحقق منه على openai.com - الصفحة الرئيسية
عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
Evolving neural networks through augmenting topologies‏
KO Stanley, R Miikkulainen‏
Evolutionary computation 10 (2), 99-127, 2002‏
47062002
Abandoning objectives: Evolution through the search for novelty alone‏
J Lehman, KO Stanley‏
Evolutionary computation 19 (2), 189-223, 2011‏
12462011
A hypercube-based encoding for evolving large-scale neural networks‏
KO Stanley, DB D'Ambrosio, J Gauci‏
Artificial life 15 (2), 185-212, 2009‏
11542009
Compositional pattern producing networks: A novel abstraction of development‏
KO Stanley‏
Genetic programming and evolvable machines 8, 131-162, 2007‏
10022007
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
9742011
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
9642017
Designing neural networks through neuroevolution‏
KO Stanley, J Clune, J Lehman, R Miikkulainen‏
Nature Machine Intelligence 1 (1), 24-35, 2019‏
8182019
Exploiting open-endedness to solve problems through the search for novelty.‏
J Lehman, KO Stanley‏
ALIFE, 329-336, 2008‏
7252008
Efficient reinforcement learning through evolving neural network topologies‏
KO Stanley, R Miikkulainen‏
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO …, 2002‏
623*2002
Quality diversity: A new frontier for evolutionary computation‏
JK Pugh, LB Soros, KO Stanley‏
Frontiers in Robotics and AI 3, 202845, 2016‏
6132016
A taxonomy for artificial embryogeny‏
KO Stanley, R Miikkulainen‏
Artificial life 9 (2), 93-130, 2003‏
6112003
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
5782011
Competitive coevolution through evolutionary complexification‏
KO Stanley, R Miikkulainen‏
Journal of artificial intelligence research 21, 63-100, 2004‏
5722004
Real-time neuroevolution in the NERO video game‏
KO Stanley, BD Bryant, R Miikkulainen‏
IEEE transactions on evolutionary computation 9 (6), 653-668, 2005‏
5302005
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
4692019
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
4392018
First return, then explore‏
A Ecoffet, J Huizinga, J Lehman, KO Stanley, J Clune‏
Nature 590 (7847), 580-586, 2021‏
4242021
Efficient reinforcement learning through evolving neural network topologies‏
KO Stanley, R Miikkulainen‏
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO …, 2002‏
3872002
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
3752020
Paired open-ended trailblazer (poet): Endlessly generating increasingly complex and diverse learning environments and their solutions‏
R Wang, J Lehman, J Clune, KO Stanley‏
arXiv preprint arXiv:1901.01753, 2019‏
2792019
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مقالات 1–20