| 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 | 140 | 2019 |
| The evolutionary origins of hierarchy H Mengistu, J Huizinga, JB Mouret, J Clune PLoS computational biology 12 (6), e1004829, 2016 | 98 | 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 | 41 | 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 | 18 | 2016 |
| First return then explore A Ecoffet, J Huizinga, J Lehman, KO Stanley, J Clune arXiv preprint arXiv:2004.12919, 2020 | 12 | 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, Nov, 2018 | 11 | 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 | 10 | 2018 |
| 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 | 9 | 2020 |
| 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 | 9 | 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 | 4 | 2020 |
| Guiding Neuroevolution with Structural Objectives KO Ellefsen, J Huizinga, J Torresen Evolutionary Computation 28 (1), 115-140, 2020 | 3 | 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 | 1 | 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 | | 2020 |
| Guiding Neuroevolution with Structural Objectives K Olav Ellefsen, J Huizinga, J Torresen arXiv, arXiv: 1902.04346, 2019 | | 2019 |
| Evolving Structurally-organized Artificial Neural Networks J Huizinga University of Wyoming, 2018 | | 2018 |
| Reviewers of Volume 22 D Ackley, A Adamatzky, E Agmon, B Alicea, L Altenberg, T Andersen, ... Artificial Life 22 (537), 2016 | | 2016 |
