Matthew C. Fontaine

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 48

Top Topics

Covariance Matrix

Top Venues

Publications

Yulun Zhang, Matthew C. Fontaine, Varun Bhatt, Stefanos Nikolaidis, Jiaoyang Li
Arbitrarily Scalable Environment Generators via Neural Cellular Automata (Extended Abstract). SOCS (2024)
David H. Lee, Anishalakshmi V. Palaparthi, Matthew C. Fontaine, Bryon Tjanaka, Stefanos Nikolaidis
Density Descent for Diversity Optimization. GECCO (2024)
Yulun Zhang, Matthew C. Fontaine, Varun Bhatt, Stefanos Nikolaidis, Jiaoyang Li
Multi-Robot Coordination and Layout Design for Automated Warehousing (Extended Abstract). SOCS (2024)
Allen Chang, Matthew C. Fontaine, Serena Booth, Maja J. Mataric, Stefanos Nikolaidis
Quality-Diversity Generative Sampling for Learning with Synthetic Data. AAAI (2024)
Ryan Boldi, Matthew C. Fontaine, Sumeet Batra, Gaurav Sukhatme, Stefanos Nikolaidis
Generating Diverse Critics for Conditioned Policy Distillation. GECCO Companion (2024)
Matthew C. Fontaine, Stefanos Nikolaidis
Covariance Matrix Adaptation MAP-Annealing. GECCO (2023)
Yulun Zhang, Matthew C. Fontaine, Varun Bhatt, Stefanos Nikolaidis, Jiaoyang Li
Arbitrarily Scalable Environment Generators via Neural Cellular Automata. NeurIPS (2023)
Bryon Tjanaka, Matthew C. Fontaine, David H. Lee, Yulun Zhang, Nivedit Reddy Balam, Nathaniel Dennler, Sujay S. Garlanka, Nikitas Dimitri Klapsis, Stefanos Nikolaidis
pyribs: A Bare-Bones Python Library for Quality Diversity Optimization. CoRR (2023)
David H. Lee, Anishalakshmi V. Palaparthi, Matthew C. Fontaine, Bryon Tjanaka, Stefanos Nikolaidis
Density Descent for Diversity Optimization. CoRR (2023)
Bryon Tjanaka, Matthew C. Fontaine, David H. Lee, Yulun Zhang, Nivedit Reddy Balam, Nathaniel Dennler, Sujay S. Garlanka, Nikitas Dimitri Klapsis, Stefanos Nikolaidis
pyribs: A Bare-Bones Python Library for Quality Diversity Optimization. GECCO (2023)
Allen Chang, Matthew C. Fontaine, Serena Booth, Maja J. Mataric, Stefanos Nikolaidis
Quality-Diversity Generative Sampling for Learning with Synthetic Data. CoRR (2023)
Yulun Zhang, Matthew C. Fontaine, Varun Bhatt, Stefanos Nikolaidis, Jiaoyang Li
Arbitrarily Scalable Environment Generators via Neural Cellular Automata. CoRR (2023)
Bryon Tjanaka, Matthew C. Fontaine, David H. Lee, Aniruddha Kalkar, Stefanos Nikolaidis
Training Diverse High-Dimensional Controllers by Scaling Covariance Matrix Adaptation MAP-Annealing. IEEE Robotics Autom. Lett. 8 (10) (2023)
Varun Bhatt, Heramb Nemlekar, Matthew C. Fontaine, Bryon Tjanaka, Hejia Zhang, Ya-Chuan Hsu, Stefanos Nikolaidis
Surrogate Assisted Generation of Human-Robot Interaction Scenarios. CoRR (2023)
Yulun Zhang, Matthew C. Fontaine, Varun Bhatt, Stefanos Nikolaidis, Jiaoyang Li
Multi-Robot Coordination and Layout Design for Automated Warehousing. IJCAI (2023)
Sumeet Batra, Bryon Tjanaka, Matthew C. Fontaine, Aleksei Petrenko, Stefanos Nikolaidis, Gaurav S. Sukhatme
Proximal Policy Gradient Arborescence for Quality Diversity Reinforcement Learning. CoRR (2023)
Yulun Zhang, Matthew C. Fontaine, Varun Bhatt, Stefanos Nikolaidis, Jiaoyang Li
Multi-Robot Coordination and Layout Design for Automated Warehousing. CoRR (2023)
Bryon Tjanaka, Matthew C. Fontaine, Aniruddha Kalkar, Stefanos Nikolaidis
Training Diverse High-Dimensional Controllers by Scaling Covariance Matrix Adaptation MAP-Annealing. CoRR (2022)
Sam Earle, Justin Snider, Matthew C. Fontaine, Stefanos Nikolaidis, Julian Togelius
Illuminating diverse neural cellular automata for level generation. GECCO (2022)
Matthew C. Fontaine, Stefanos Nikolaidis
Evaluating Human-Robot Interaction Algorithms in Shared Autonomy via Quality Diversity Scenario Generation. ACM Trans. Hum. Robot Interact. 11 (3) (2022)
Bryon Tjanaka, Matthew C. Fontaine, Julian Togelius, Stefanos Nikolaidis
Approximating Gradients for Differentiable Quality Diversity in Reinforcement Learning. CoRR (2022)
Bryon Tjanaka, Matthew C. Fontaine, Julian Togelius, Stefanos Nikolaidis
Approximating gradients for differentiable quality diversity in reinforcement learning. GECCO (2022)
Ya-Chuan Hsu, Matthew C. Fontaine, Sam Earle, Maria Edwards, Julian Togelius, Stefanos Nikolaidis
Generating Diverse Indoor Furniture Arrangements. SIGGRAPH Posters (2022)
Ya-Chuan Hsu, Matthew C. Fontaine, Sam Earle, Maria Edwards, Julian Togelius, Stefanos Nikolaidis
Generating Diverse Indoor Furniture Arrangements. CoRR (2022)
Shihan Lu, Mianlun Zheng, Matthew C. Fontaine, Stefanos Nikolaidis, Heather Culbertson
Preference-Driven Texture Modeling Through Interactive Generation and Search. IEEE Trans. Haptics 15 (3) (2022)
Matthew C. Fontaine
Towards Automating the Generation of Human-Robot Interaction Scenarios. AAAI (2022)
Varun Bhatt, Bryon Tjanaka, Matthew C. Fontaine, Stefanos Nikolaidis
Deep Surrogate Assisted Generation of Environments. CoRR (2022)
Varun Bhatt, Bryon Tjanaka, Matthew C. Fontaine, Stefanos Nikolaidis
Deep Surrogate Assisted Generation of Environments. NeurIPS (2022)
Matthew C. Fontaine, Stefanos Nikolaidis
Covariance Matrix Adaptation MAP-Annealing. CoRR (2022)
Yulun Zhang, Matthew C. Fontaine, Amy K. Hoover, Stefanos Nikolaidis
Deep surrogate assisted MAP-elites for automated hearthstone deckbuilding. GECCO (2022)
Matthew C. Fontaine, Ya-Chuan Hsu, Yulun Zhang, Bryon Tjanaka, Stefanos Nikolaidis
On the Importance of Environments in Human-Robot Coordination. Robotics: Science and Systems (2021)
Matthew C. Fontaine, Stefanos Nikolaidis
Differentiable Quality Diversity. CoRR (2021)
Sam Earle, Justin Snider, Matthew C. Fontaine, Stefanos Nikolaidis, Julian Togelius
Illuminating Diverse Neural Cellular Automata for Level Generation. CoRR (2021)
Yulun Zhang, Matthew C. Fontaine, Amy K. Hoover, Stefanos Nikolaidis
Deep Surrogate Assisted MAP-Elites for Automated Hearthstone Deckbuilding. CoRR (2021)
Matthew C. Fontaine, Ruilin Liu, Ahmed Khalifa, Jignesh Modi, Julian Togelius, Amy K. Hoover, Stefanos Nikolaidis
Illuminating Mario Scenes in the Latent Space of a Generative Adversarial Network. AAAI (2021)
Matthew C. Fontaine, Stefanos Nikolaidis
Differentiable Quality Diversity. NeurIPS (2021)
Matthew C. Fontaine, Stefanos Nikolaidis
A Quality Diversity Approach to Automatically Generating Human-Robot Interaction Scenarios in Shared Autonomy. Robotics: Science and Systems (2021)
Matthew C. Fontaine, Ya-Chuan Hsu, Yulun Zhang, Bryon Tjanaka, Stefanos Nikolaidis
On the Importance of Environments in Human-Robot Coordination. CoRR (2021)
Matthew C. Fontaine, Ruilin Liu, Ahmed Khalifa, Julian Togelius, Amy K. Hoover, Stefanos Nikolaidis
Illuminating Mario Scenes in the Latent Space of a Generative Adversarial Network. CoRR (2020)
Matthew C. Fontaine, Stefanos Nikolaidis
A Quality Diversity Approach to Automatically Generating Human-Robot Interaction Scenarios in Shared Autonomy. CoRR (2020)
Hejia Zhang, Matthew C. Fontaine, Amy K. Hoover, Julian Togelius, Bistra Dilkina, Stefanos Nikolaidis
Video Game Level Repair via Mixed Integer Linear Programming. AIIDE (2020)
Hejia Zhang, Matthew C. Fontaine, Amy K. Hoover, Julian Togelius, Bistra Dilkina, Stefanos Nikolaidis
Video Game Level Repair via Mixed Integer Linear Programming. CoRR (2020)
Matthew C. Fontaine, Julian Togelius, Stefanos Nikolaidis, Amy K. Hoover
Covariance matrix adaptation for the rapid illumination of behavior space. GECCO (2020)
Fernando de Mesentier Silva, Rodrigo Canaan, Scott Lee, Matthew C. Fontaine, Julian Togelius, Amy K. Hoover
Evolving the Hearthstone Meta. CoRR (2019)
Matthew C. Fontaine, Scott Lee, Lisa B. Soros, Fernando de Mesentier Silva, Julian Togelius, Amy K. Hoover
Mapping hearthstone deck spaces through MAP-elites with sliding boundaries. GECCO (2019)
Matthew C. Fontaine, Julian Togelius, Stefanos Nikolaidis, Amy K. Hoover
Covariance Matrix Adaptation for the Rapid Illumination of Behavior Space. CoRR (2019)
Matthew C. Fontaine, Scott Lee, Lisa B. Soros, Fernando de Mesentier Silva, Julian Togelius, Amy K. Hoover
Mapping Hearthstone Deck Spaces through MAP-Elites with Sliding Boundaries. CoRR (2019)
Fernando de Mesentier Silva, Rodrigo Canaan, Scott Lee, Matthew C. Fontaine, Julian Togelius, Amy K. Hoover
Evolving the Hearthstone Meta. CoG (2019)