Joost Huizinga
Joost Huizinga
Verified email at - Homepage
Cited by
Cited by
Gpt-4 technical report
J Achiam, S Adler, S Agarwal, L Ahmad, I Akkaya, FL Aleman, D Almeida, ...
arXiv preprint arXiv:2303.08774, 2023
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
First return, then explore
A Ecoffet, J Huizinga, J Lehman, KO Stanley, J Clune
Nature 590 (7847), 580-586, 2021
Video pretraining (vpt): Learning to act by watching unlabeled online videos
B Baker, I Akkaya, P Zhokov, J Huizinga, J Tang, A Ecoffet, B Houghton, ...
Advances in Neural Information Processing Systems 35, 24639-24654, 2022
The evolutionary origins of hierarchy
H Mengistu, J Huizinga, JB Mouret, J Clune
PLoS computational biology 12 (6), e1004829, 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
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
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
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
Evolving multimodal robot behavior via many stepping stones with the combinatorial multiobjective evolutionary algorithm
J Huizinga, J Clune
Evolutionary computation 30 (2), 131-164, 2022
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
Multi-task curriculum learning in a complex, visual, hard-exploration domain: Minecraft
I Kanitscheider, J Huizinga, D Farhi, WH Guss, B Houghton, R Sampedro, ...
arXiv preprint arXiv:2106.14876, 2021
Variation in reversal learning by three generalist mesocarnivores
LA Stanton, ES Bridge, J Huizinga, SR Johnson, JK Young, ...
Animal Cognition 24 (3), 555-568, 2021
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
Guiding neuroevolution with structural objectives
KO Ellefsen, J Huizinga, J Torresen
Evolutionary Computation 28 (1), 115-140, 2020
Environmental, individual and social traits of free-ranging raccoons influence performance in cognitive testing
LA Stanton, ES Bridge, J Huizinga, S Benson-Amram
Journal of Experimental Biology 225 (18), jeb243726, 2022
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
The Evolutionary Origins of Hierarchy
J Clune, JB Mouret, H Lipson
PLOS Computational Biology 280 (20122863), 2016, 1755
Deep reinforcement learning based models for hard-exploration problems
JM Clune, AL Ecoffet, KO Stanley, J Huizinga, JA Lehman
US Patent 11,829,870, 2023
Using machine learning to train and use a model to perform automatic interface actions based on video and input datasets
B Baker, I Akkaya, P Zhokov, J Huizinga, J Tang, A Ecoffet, B Houghton, ...
US Patent 11,887,367 B1, 2024
The system can't perform the operation now. Try again later.
Articles 1–20