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Adam Gaier

According to our database¹, Adam Gaier authored at least 20 papers between 2014 and 2023.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Links

On csauthors.net:

Bibliography

2023

Editorial to the "Evolutionary Reinforcement Learning" Special Issue.

[BibT_eX]

[DOI]

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ACM Trans. Evol. Learn. Optim., September, 2023

PlotMap: Automated Layout Design for Building Game Worlds.

[BibT_eX]

[DOI]

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CoRR, 2023

2022

T-DominO - Exploring Multiple Criteria with Quality-Diversity and the Tournament Dominance Objective.

[BibT_eX]

[DOI]

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Lorenzo Villaggi

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Peter J. Bentley

Proceedings of the Parallel Problem Solving from Nature - PPSN XVII, 2022

Evolving Through the Looking Glass: Learning Improved Search Spaces with Variational Autoencoders.

[BibT_eX]

[DOI]

Peter J. Bentley

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Proceedings of the Parallel Problem Solving from Nature - PPSN XVII, 2022

A discretization-free metric for assessing quality diversity algorithms.

[BibT_eX]

[DOI]

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Jean-Baptiste Mouret

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

COIL: Constrained optimization in learned latent space: learning representations for valid solutions.

[BibT_eX]

[DOI]

Peter J. Bentley

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Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

2020

Accelerating Evolutionary Design Exploration with Predictive and Generative Models. (Accélérer l'exploration de la conception par algorithme évolutionniste grâce à des modèles prédictifs et génératifs).

[BibT_eX]

[DOI]

PhD thesis, 2020

Automating Representation Discovery with MAP-Elites.

[BibT_eX]

[DOI]

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Alexander Asteroth

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Jean-Baptiste Mouret

CoRR, 2020

Discovering representations for black-box optimization.

[BibT_eX]

[DOI]

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Alexander Asteroth

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Jean-Baptiste Mouret

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

2019

Weight Agnostic Neural Networks.

[BibT_eX]

[DOI]

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Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Prediction of neural network performance by phenotypic modeling.

[BibT_eX]

[DOI]

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Martin Zaefferer

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Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Are quality diversity algorithms better at generating stepping stones than objective-based search?

[BibT_eX]

[DOI]

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Alexander Asteroth

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Jean-Baptiste Mouret

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

2018

Data-Efficient Design Exploration through Surrogate-Assisted Illumination.

[BibT_eX]

[DOI]

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Alexander Asteroth

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Jean-Baptiste Mouret

Evol. Comput., 2018

Data-efficient neuroevolution with kernel-based surrogate models.

[BibT_eX]

[DOI]

,

Alexander Asteroth

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Jean-Baptiste Mouret

Proceedings of the Genetic and Evolutionary Computation Conference, 2018

2017

Multi-stage evolution of single- and multi-objective MCLP - Successive placement of charging stations.

[BibT_eX]

[DOI]

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,

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Stefanie Meilinger

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Alexander Asteroth

Soft Comput., 2017

Feature Space Modeling Through Surrogate Illumination.

[BibT_eX]

[DOI]

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Alexander Asteroth

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Jean-Baptiste Mouret

CoRR, 2017

Data-efficient exploration, optimization, and modeling of diverse designs through surrogate-assisted illumination.

[BibT_eX]

[DOI]

,

Alexander Asteroth

,

Jean-Baptiste Mouret

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

2015

Evolutionary Design via Indirect Encoding of Non-Uniform Rational Basis Splines.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2015

2014

Evolution of optimal control for energy-efficient transport.

[BibT_eX]

[DOI]

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Alexander Asteroth

Proceedings of the 2014 IEEE Intelligent Vehicles Symposium Proceedings, 2014

Evolving look ahead controllers for energy optimal driving and path planning.

[BibT_eX]

[DOI]

,

Alexander Asteroth

Proceedings of the 2014 IEEE International Symposium on Innovations in Intelligent Systems and Applications, 2014

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