Matthew C. Fontaine

Computer Science · Physical Sciences

13h-index471citations50works2.12yr avg
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Research Topics

Reinforcement Learning in Robotics(13), Artificial Intelligence in Games(11), Advanced Multi-Objective Optimization Algorithms(8), Metaheuristic Optimization Algorithms Research(7), Video Analysis and Summarization(6)

Publications50 total

Discount Model Search for Quality Diversity Optimization in High-Dimensional Measure Spaces
arXiv (Cornell University)·2026Open Access
Discount Model Search for Quality Diversity Optimization in High-Dimensional Measure Spaces
arXiv (Cornell University)·2026Open Access
Generating Diverse Critics for Conditioned Policy Distillation
Proceedings of the Genetic and Evolutionary Computation Conference Companion·2024
Density Descent for Diversity Optimization
Proceedings of the Genetic and Evolutionary Computation Conference·2024· 1 citedOpen Access
Multi-Robot Coordination and Layout Design for Automated Warehousing (Extended Abstract)
Proceedings of the International Symposium on Combinatorial Search·2024· 9 citedOpen Access
Arbitrarily Scalable Environment Generators via Neural Cellular Automata (Extended Abstract)
Proceedings of the International Symposium on Combinatorial Search·2024Open Access
Covariance Matrix Adaptation MAP-Annealing: Theory and Experiments
ACM Transactions on Evolutionary Learning and Optimization·2024· 1 citedOpen Access
Quality-Diversity Generative Sampling for Learning with Synthetic Data
Proceedings of the AAAI Conference on Artificial Intelligence·2024· 6 citedOpen Access
Quality-Diversity Generative Sampling for Learning with Synthetic Data
arXiv (Cornell University)·2023Open Access
Density Descent for Diversity Optimization
arXiv (Cornell University)·2023Open Access
Arbitrarily Scalable Environment Generators via Neural Cellular Automata
arXiv (Cornell University)·2023· 5 citedOpen Access
Training Diverse High-Dimensional Controllers by Scaling Covariance Matrix Adaptation MAP-Annealing
IEEE Robotics and Automation Letters·2023· 6 cited
Multi-Robot Coordination and Layout Design for Automated Warehousing
2023· 17 citedOpen Access
Covariance Matrix Adaptation MAP-Annealing
Proceedings of the Genetic and Evolutionary Computation Conference·2023· 15 citedOpen Access
pyribs: A Bare-Bones Python Library for Quality Diversity Optimization
Proceedings of the Genetic and Evolutionary Computation Conference·2023· 13 citedOpen Access
Proximal Policy Gradient Arborescence for Quality Diversity Reinforcement Learning
arXiv (Cornell University)·2023· 3 citedOpen Access
Multi-Robot Coordination and Layout Design for Automated Warehousing
arXiv (Cornell University)·2023· 3 citedOpen Access
Surrogate Assisted Generation of Human-Robot Interaction Scenarios
arXiv (Cornell University)·2023· 1 citedOpen Access
pyribs: A Bare-Bones Python Library for Quality Diversity Optimization
arXiv (Cornell University)·2023· 2 citedOpen Access
Training Diverse High-Dimensional Controllers by Scaling Covariance Matrix Adaptation MAP-Annealing
arXiv (Cornell University)·2022· 4 citedOpen Access
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Frequent Co-authors

Stefanos Nikolaidis(41), Julian Togelius(13), Amy K. Hoover(10), Bryon Tjanaka(10), Yulun Zhang(9), Varun Bhatt(7), Jiaoyang Li(4), Bryon Tjanaka(4), David H. Lee(4), Sam Earle(3), Ya-Chuan Hsu(3), Hejia Zhang(3), Scott Lee(3), Fernando de Mesentier Silva(3), Bistra Dilkina(2), Ruilin Liu(2), Ahmed Khalifa(2), Nivedit Reddy Balam(2), Nathaniel Dennler(2), Sujay S. Garlanka(2)