Huizinga, Joost

First return, then explore

Ecoffet, A., Huizinga, J., Lehman, J., Stanley, K. O., & Clune, J. (2021) · Nature

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 330

Go-Explore: a New Approach for Hard-Exploration Problems

Ecoffet, A., Huizinga, J., Lehman, J., Stanley, K. O., & Clune, J. (2019) · arXiv

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 205

GPT-4o System Card

OpenAI, :, Hurst, A., Lerer, A., Goucher, A. P., Perelman, A., Ramesh, A., Clark, A., Ostrow, A., Welihinda, A., et al. (2024) · arXiv

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 180

The evolutionary origins of hierarchy

Mengistu, H., Huizinga, J., Mouret, J.-B., & Clune, J. (2016) · PLOS Computational Biology

Evolutionary Algorithms and ApplicationsEvolution and Genetic Dynamics

Cited by 115

Video PreTraining (VPT): Learning to Act by Watching Unlabeled Online Videos

Baker, B., Akkaya, I., Zhokhov, P., Huizinga, J., Tang, J., Ecoffet, A., Houghton, B., Sampedro, R., & Clune, J. (2022) · arXiv

Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning

Cited by 75

OpenAI o1 System Card

OpenAI, :, Jaech, A., Kalai, A., Lerer, A., Richardson, A., El-Kishky, A., Low, A., Helyar, A., Madry, A., et al. (2024) · arXiv

Adversarial Robustness in Machine LearningEthics and Social Impacts of AI

Cited by 50

Evolving multimodal robot behavior via many stepping stones with the combinatorial multiobjective evolutionary algorithm

Huizinga, J., & Clune, J. (2022) · Evolutionary Computation

Advanced Multi-Objective Optimization AlgorithmsEvolutionary Algorithms and Applications

Cited by 20

Multi-task curriculum learning in a complex, visual, hard-exploration domain: Minecraft

Kanitscheider, I., Huizinga, J., Farhi, D., Guss, W. H., Houghton, B., Sampedro, R., Zhokhov, P., Baker, B., Ecoffet, A., Tang, J., et al. (2021) · arXiv

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 9

Monitoring Reasoning Models for Misbehavior and the Risks of Promoting Obfuscation

Baker, B., Huizinga, J., Gao, L., Dou, Z., Guan, M. Y., Madry, A., Zaremba, W., Pachocki, J., & Farhi, D. (2025) · arXiv

Ethics and Social Impacts of AIAdversarial Robustness in Machine Learning

Cited by 8