Theo dõi
Kenneth O. Stanley
Kenneth O. Stanley
Research Manager, OpenAI
Email được xác minh tại openai.com - Trang chủ
Tiêu đề
Trích dẫn bởi
Trích dẫn bởi
Năm
Evolving neural networks through augmenting topologies
KO Stanley, R Miikkulainen
Evolutionary computation 10 (2), 99-127, 2002
47042002
Abandoning objectives: Evolution through the search for novelty alone
J Lehman, KO Stanley
Evolutionary computation 19 (2), 189-223, 2011
12542011
A hypercube-based encoding for evolving large-scale neural networks
KO Stanley, DB D'Ambrosio, J Gauci
Artificial life 15 (2), 185-212, 2009
11522009
Compositional pattern producing networks: A novel abstraction of development
KO Stanley
Genetic programming and evolvable machines 8, 131-162, 2007
10012007
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
9782011
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
9602017
Designing neural networks through neuroevolution
KO Stanley, J Clune, J Lehman, R Miikkulainen
Nature Machine Intelligence 1 (1), 24-35, 2019
8142019
Exploiting open-endedness to solve problems through the search for novelty.
J Lehman, KO Stanley
ALIFE, 329-336, 2008
7252008
Quality diversity: A new frontier for evolutionary computation
JK Pugh, LB Soros, KO Stanley
Frontiers in Robotics and AI 3, 40, 2016
6522016
Efficient reinforcement learning through evolving neural network topologies
KO Stanley, R Miikkulainen
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO …, 2002
630*2002
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
5812011
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
5272005
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
4612019
First return, then explore
A Ecoffet, J Huizinga, J Lehman, KO Stanley, J Clune
Nature 590 (7847), 580-586, 2021
4342021
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
4342018
Efficient reinforcement learning through evolving neural network topologies
KO Stanley, R Miikkulainen
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO …, 2002
3932002
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
3882020
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
2892019
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