Matthew C. Fontaine

According to our database, Matthew C. Fontaine authored at least 31 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

A Quality Diversity Approach to Automatically Generate Multi-Agent Path Finding Benchmark Maps.

Cheng Qian, Yulun Zhang, Varun Bhatt, Matthew Christopher Fontaine, Stefanos Nikolaidis, Jiaoyang Li

CoRR, 2024

Arbitrarily Scalable Environment Generators via Neural Cellular Automata (Extended Abstract).

Yulun Zhang, Matthew C. Fontaine, Varun Bhatt, Stefanos Nikolaidis, Jiaoyang Li

Proceedings of the Seventeenth International Symposium on Combinatorial Search, 2024

Multi-Robot Coordination and Layout Design for Automated Warehousing (Extended Abstract).

Yulun Zhang, Matthew C. Fontaine, Varun Bhatt, Stefanos Nikolaidis, Jiaoyang Li

Proceedings of the Seventeenth International Symposium on Combinatorial Search, 2024

Proximal Policy Gradient Arborescence for Quality Diversity Reinforcement Learning.

Sumeet Batra, Bryon Tjanaka, Matthew Christopher Fontaine, Aleksei Petrenko, Stefanos Nikolaidis, Gaurav S. Sukhatme

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Density Descent for Diversity Optimization.

David H. Lee, Anishalakshmi V. Palaparthi, Matthew C. Fontaine, Bryon Tjanaka, Stefanos Nikolaidis

Proceedings of the Genetic and Evolutionary Computation Conference, 2024

Generating Diverse Critics for Conditioned Policy Distillation.

Ryan Boldi, Matthew C. Fontaine, Sumeet Batra, Gaurav S. Sukhatme, Stefanos Nikolaidis

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

Quality-Diversity Generative Sampling for Learning with Synthetic Data.

Allen Chang, Matthew C. Fontaine, Serena Booth, Maja J. Mataric, Stefanos Nikolaidis

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Training Diverse High-Dimensional Controllers by Scaling Covariance Matrix Adaptation MAP-Annealing.

Bryon Tjanaka, Matthew C. Fontaine, David H. Lee, Aniruddha Kalkar, Stefanos Nikolaidis

IEEE Robotics Autom. Lett., October, 2023

Arbitrarily Scalable Environment Generators via Neural Cellular Automata.

Yulun Zhang, Matthew C. Fontaine, Varun Bhatt, Stefanos Nikolaidis, Jiaoyang Li

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Multi-Robot Coordination and Layout Design for Automated Warehousing.

Yulun Zhang, Matthew C. Fontaine, Varun Bhatt, Stefanos Nikolaidis, Jiaoyang Li

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

pyribs: A Bare-Bones Python Library for Quality Diversity Optimization.

Bryon Tjanaka, Matthew C. Fontaine, David H. Lee, Yulun Zhang, Nivedit Reddy Balam, Nathaniel Dennler, Sujay S. Garlanka, Nikitas Dimitri Klapsis, Stefanos Nikolaidis

Proceedings of the Genetic and Evolutionary Computation Conference, 2023

Covariance Matrix Adaptation MAP-Annealing.

Matthew C. Fontaine, Stefanos Nikolaidis

Proceedings of the Genetic and Evolutionary Computation Conference, 2023

Surrogate Assisted Generation of Human-Robot Interaction Scenarios.

Varun Bhatt, Heramb Nemlekar, Matthew Christopher Fontaine, Bryon Tjanaka, Hejia Zhang, Ya-Chuan Hsu, Stefanos Nikolaidis

Proceedings of the Conference on Robot Learning, 2023

2022

Preference-Driven Texture Modeling Through Interactive Generation and Search.

Shihan Lu, Mianlun Zheng, Matthew C. Fontaine, Stefanos Nikolaidis, Heather Culbertson

IEEE Trans. Haptics, 2022

Evaluating Human-Robot Interaction Algorithms in Shared Autonomy via Quality Diversity Scenario Generation.

Matthew C. Fontaine, Stefanos Nikolaidis

ACM Trans. Hum. Robot Interact., 2022

Training Diverse High-Dimensional Controllers by Scaling Covariance Matrix Adaptation MAP-Annealing.

Bryon Tjanaka, Matthew C. Fontaine, Aniruddha Kalkar, Stefanos Nikolaidis

CoRR, 2022

Generating Diverse Indoor Furniture Arrangements.

Ya-Chuan Hsu, Matthew C. Fontaine, Sam Earle, Maria Edwards, Julian Togelius, Stefanos Nikolaidis

Proceedings of the SIGGRAPH '22: Special Interest Group on Computer Graphics and Interactive Techniques Conference, Posters, Vancouver BC Canada, August 7, 2022

Deep Surrogate Assisted Generation of Environments.

Varun Bhatt, Bryon Tjanaka, Matthew C. Fontaine, Stefanos Nikolaidis

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Deep surrogate assisted MAP-elites for automated hearthstone deckbuilding.

Yulun Zhang, Matthew C. Fontaine, Amy K. Hoover, Stefanos Nikolaidis

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

Approximating gradients for differentiable quality diversity in reinforcement learning.

Bryon Tjanaka, Matthew C. Fontaine, Julian Togelius, Stefanos Nikolaidis

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

Illuminating diverse neural cellular automata for level generation.

Sam Earle, Justin Snider, Matthew C. Fontaine, Stefanos Nikolaidis, Julian Togelius

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

Towards Automating the Generation of Human-Robot Interaction Scenarios.

Matthew C. Fontaine

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

A Quality Diversity Approach to Automatically Generating Human-Robot Interaction Scenarios in Shared Autonomy.

Matthew C. Fontaine, Stefanos Nikolaidis

Proceedings of the Robotics: Science and Systems XVII, Virtual Event, July 12-16, 2021., 2021

On the Importance of Environments in Human-Robot Coordination.

Matthew C. Fontaine, Ya-Chuan Hsu, Yulun Zhang, Bryon Tjanaka, Stefanos Nikolaidis

Proceedings of the Robotics: Science and Systems XVII, Virtual Event, July 12-16, 2021., 2021

Differentiable Quality Diversity.

Matthew C. Fontaine, Stefanos Nikolaidis

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Illuminating Mario Scenes in the Latent Space of a Generative Adversarial Network.

Matthew C. Fontaine, Ruilin Liu, Ahmed Khalifa, Jignesh Modi, Julian Togelius, Amy K. Hoover, Stefanos Nikolaidis

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Illuminating Mario Scenes in the Latent Space of a Generative Adversarial Network.

Matthew C. Fontaine, Ruilin Liu, Ahmed Khalifa, Julian Togelius, Amy K. Hoover, Stefanos Nikolaidis

CoRR, 2020

Covariance matrix adaptation for the rapid illumination of behavior space.

Matthew C. Fontaine, Julian Togelius, Stefanos Nikolaidis, Amy K. Hoover

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

Video Game Level Repair via Mixed Integer Linear Programming.

Hejia Zhang, Matthew C. Fontaine, Amy K. Hoover, Julian Togelius, Bistra Dilkina, Stefanos Nikolaidis

Proceedings of the Sixteenth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2020

2019

Mapping hearthstone deck spaces through MAP-elites with sliding boundaries.

Matthew C. Fontaine, Scott Lee, Lisa B. Soros, Fernando de Mesentier Silva, Julian Togelius, Amy K. Hoover

Proceedings of the Genetic and Evolutionary Computation Conference, 2019

Evolving the Hearthstone Meta.

Fernando de Mesentier Silva, Rodrigo Canaan, Scott Lee, Matthew C. Fontaine, Julian Togelius, Amy K. Hoover

Proceedings of the IEEE Conference on Games, 2019