Joost Huizinga

Orcid: 0000-0003-0877-3051

According to our database1, Joost Huizinga authored at least 14 papers between 2014 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2022
Evolving Multimodal Robot Behavior via Many Stepping Stones with the Combinatorial Multiobjective Evolutionary Algorithm.
Evol. Comput., 2022

Video PreTraining (VPT): Learning to Act by Watching Unlabeled Online Videos.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
First return, then explore.
Nat., 2021

Multi-task curriculum learning in a complex, visual, hard-exploration domain: Minecraft.
CoRR, 2021

2020
Guiding Neuroevolution with Structural Objectives.
Evol. Comput., 2020

Exploration Based Language Learning for Text-Based Games.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Scaling MAP-Elites to deep neuroevolution.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

2019
Go-Explore: a New Approach for Hard-Exploration Problems.
CoRR, 2019

Commonsense and Semantic-Guided Navigation through Language in Embodied Environment.
Proceedings of the Visually Grounded Interaction and Language (ViGIL), 2019

2018
Evolving Multimodal Robot Behavior via Many Stepping Stones with the Combinatorial Multi-Objective Evolutionary Algorithm.
CoRR, 2018

The Emergence of Canalization and Evolvability in an Open-Ended, Interactive Evolutionary System.
Artif. Life, 2018

2016
The Evolutionary Origins of Hierarchy.
PLoS Comput. Biol., 2016

Does Aligning Phenotypic and Genotypic Modularity Improve the Evolution of Neural Networks?
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016

2014
Evolving neural networks that are both modular and regular: HyperNEAT plus the connection cost technique.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014


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