Joost Huizinga
Joost Huizinga
Verified email at - Homepage
Cited by
Cited by
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
The evolutionary origins of hierarchy
H Mengistu, J Huizinga, JB Mouret, J Clune
PLoS computational biology 12 (6), e1004829, 2016
Evolving neural networks that are both modular and regular: Hyperneat plus the connection cost technique
J Huizinga, J Clune, JB Mouret
Proceedings of the 2014 Annual Conference on Genetic and Evolutionary …, 2014
First return, then explore
A Ecoffet, J Huizinga, J Lehman, KO Stanley, J Clune
Nature 590 (7847), 580-586, 2021
Does aligning phenotypic and genotypic modularity improve the evolution of neural networks?
J Huizinga, JB Mouret, J Clune
Proceedings of the Genetic and Evolutionary Computation Conference 2016, 125-132, 2016
Scaling map-elites to deep neuroevolution
C Colas, V Madhavan, J Huizinga, J Clune
Proceedings of the 2020 Genetic and Evolutionary Computation Conference, 67-75, 2020
Montezuma’s revenge solved by go-explore, a new algorithm for hard-exploration problems (sets records on pitfall, too)
A Ecoffet, J Huizinga, J Lehman, KO Stanley, J Clune
Uber Engineering Blog, 2018
The emergence of canalization and evolvability in an open-ended, interactive evolutionary system
J Huizinga, KO Stanley, J Clune
Artificial life 24 (3), 157-181, 2018
Evolving multimodal robot behavior via many stepping stones with the combinatorial multi-objective evolutionary algorithm
J Huizinga, J Clune
arXiv preprint arXiv:1807.03392, 2018
Exploration based language learning for text-based games
A Madotto, M Namazifar, J Huizinga, P Molino, A Ecoffet, H Zheng, ...
arXiv preprint arXiv:2001.08868, 2020
Guiding neuroevolution with structural objectives
KO Ellefsen, J Huizinga, J Torresen
Evolutionary computation 28 (1), 115-140, 2020
Commonsense and semantic-guided navigation through language in embodied environment
D Yu, C Khatri, A Papangelis, A Madotto, M Namazifar, J Huizinga, ...
ViGIL@ NeurIPS, 2019
Deep reinforcement learning based models for hard-exploration problems
JM Clune, AL Ecoffet, KO Stanley, J Huizinga, JA Lehman
US Patent App. 16/696,893, 2020
Evolving Structurally-organized Artificial Neural Networks
J Huizinga
University of Wyoming, 2018
Reviewers of Volume 22
D Ackley, A Adamatzky, E Agmon, B Alicea, L Altenberg, T Andersen, ...
Artificial Life 22 (537), 2016
The system can't perform the operation now. Try again later.
Articles 1–15