Matthew C. Fontaine

53 papers A* 7A 8B 2C 1Journal 28Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Discount Model Search for Quality Diversity Optimization in High-Dimensional Measure Spaces. CoRR Bryon Tjanaka, Henry Chen, Matthew C. Fontaine, Stefanos Nikolaidis
2026	J	`jnl`	Optimization of Edge Directions and Weights for Mixed Guidance Graphs in Lifelong Multi-Agent Path Finding. CoRR Yulun Zhang, Varun Bhatt, Matthew C. Fontaine, Stefanos Nikolaidis, Jiaoyang Li
2025	J	`jnl`	Covariance Matrix Adaptation MAP-Annealing: Theory and Experiments. ACM Trans. Evol. Learn. Optim. Shihan Zhao, Bryon Tjanaka, Matthew C. Fontaine, Stefanos Nikolaidis
2024	B	`conf`	Arbitrarily Scalable Environment Generators via Neural Cellular Automata (Extended Abstract). SOCS Yulun Zhang, Matthew C. Fontaine, Varun Bhatt, Stefanos Nikolaidis, Jiaoyang Li
2024	A	`conf`	Density Descent for Diversity Optimization. GECCO David H. Lee, Anishalakshmi V. Palaparthi, Matthew C. Fontaine, Bryon Tjanaka, Stefanos Nikolaidis
2024	—	`conf`	Generating Diverse Critics for Conditioned Policy Distillation. GECCO Companion Ryan Boldi, Matthew C. Fontaine, Sumeet Batra, Gaurav S. Sukhatme, Stefanos Nikolaidis
2024	B	`conf`	Multi-Robot Coordination and Layout Design for Automated Warehousing (Extended Abstract). SOCS Yulun Zhang, Matthew C. Fontaine, Varun Bhatt, Stefanos Nikolaidis, Jiaoyang Li
2024	A*	`conf`	Quality-Diversity Generative Sampling for Learning with Synthetic Data. AAAI Allen Chang, Matthew C. Fontaine, Serena Booth, Maja J. Mataric, Stefanos Nikolaidis
2023	A*	`conf`	Arbitrarily Scalable Environment Generators via Neural Cellular Automata. NeurIPS Yulun Zhang, Matthew C. Fontaine, Varun Bhatt, Stefanos Nikolaidis, Jiaoyang Li
2023	J	`jnl`	Arbitrarily Scalable Environment Generators via Neural Cellular Automata. CoRR Yulun Zhang, Matthew C. Fontaine, Varun Bhatt, Stefanos Nikolaidis, Jiaoyang Li
2023	A	`conf`	Covariance Matrix Adaptation MAP-Annealing. GECCO Matthew C. Fontaine, Stefanos Nikolaidis
2023	J	`jnl`	Density Descent for Diversity Optimization. CoRR David H. Lee, Anishalakshmi V. Palaparthi, Matthew C. Fontaine, Bryon Tjanaka, Stefanos Nikolaidis
2023	A*	`conf`	Multi-Robot Coordination and Layout Design for Automated Warehousing. IJCAI Yulun Zhang, Matthew C. Fontaine, Varun Bhatt, Stefanos Nikolaidis, Jiaoyang Li
2023	J	`jnl`	Multi-Robot Coordination and Layout Design for Automated Warehousing. CoRR Yulun Zhang, Matthew C. Fontaine, Varun Bhatt, Stefanos Nikolaidis, Jiaoyang Li
2023	J	`jnl`	Proximal Policy Gradient Arborescence for Quality Diversity Reinforcement Learning. CoRR Sumeet Batra, Bryon Tjanaka, Matthew C. Fontaine, Aleksei Petrenko, Stefanos Nikolaidis, Gaurav S. Sukhatme
2023	J	`jnl`	Quality-Diversity Generative Sampling for Learning with Synthetic Data. CoRR Allen Chang, Matthew C. Fontaine, Serena Booth, Maja J. Mataric, Stefanos Nikolaidis
2023	J	`jnl`	Surrogate Assisted Generation of Human-Robot Interaction Scenarios. CoRR Varun Bhatt, Heramb Nemlekar, Matthew C. Fontaine, Bryon Tjanaka, Hejia Zhang, Ya-Chuan Hsu, Stefanos Nikolaidis
2023	J	`jnl`	Training Diverse High-Dimensional Controllers by Scaling Covariance Matrix Adaptation MAP-Annealing. IEEE Robotics Autom. Lett. Bryon Tjanaka, Matthew C. Fontaine, David H. Lee, Aniruddha Kalkar, Stefanos Nikolaidis
2023	A	`conf`	pyribs: A Bare-Bones Python Library for Quality Diversity Optimization. GECCO Bryon Tjanaka, Matthew C. Fontaine, David H. Lee, Yulun Zhang, Nivedit Reddy Balam, Nathaniel Dennler, Sujay S. Garlanka, Nikitas Dimitri Klapsis, Stefanos Nikolaidis
2023	J	`jnl`	pyribs: A Bare-Bones Python Library for Quality Diversity Optimization. CoRR Bryon Tjanaka, Matthew C. Fontaine, David H. Lee, Yulun Zhang, Nivedit Reddy Balam, Nathaniel Dennler, Sujay S. Garlanka, Nikitas Dimitri Klapsis, Stefanos Nikolaidis
2022	J	`jnl`	Approximating Gradients for Differentiable Quality Diversity in Reinforcement Learning. CoRR Bryon Tjanaka, Matthew C. Fontaine, Julian Togelius, Stefanos Nikolaidis
2022	A	`conf`	Approximating gradients for differentiable quality diversity in reinforcement learning. GECCO Bryon Tjanaka, Matthew C. Fontaine, Julian Togelius, Stefanos Nikolaidis
2022	J	`jnl`	Covariance Matrix Adaptation MAP-Annealing. CoRR Matthew C. Fontaine, Stefanos Nikolaidis
2022	A*	`conf`	Deep Surrogate Assisted Generation of Environments. NeurIPS Varun Bhatt, Bryon Tjanaka, Matthew C. Fontaine, Stefanos Nikolaidis
2022	J	`jnl`	Deep Surrogate Assisted Generation of Environments. CoRR Varun Bhatt, Bryon Tjanaka, Matthew C. Fontaine, Stefanos Nikolaidis
2022	A	`conf`	Deep surrogate assisted MAP-elites for automated hearthstone deckbuilding. GECCO Yulun Zhang, Matthew C. Fontaine, Amy K. Hoover, Stefanos Nikolaidis
2022	J	`jnl`	Evaluating Human-Robot Interaction Algorithms in Shared Autonomy via Quality Diversity Scenario Generation. ACM Trans. Hum. Robot Interact. Matthew C. Fontaine, Stefanos Nikolaidis
2022	—	`conf`	Generating Diverse Indoor Furniture Arrangements. SIGGRAPH Posters Ya-Chuan Hsu, Matthew C. Fontaine, Sam Earle, Maria Edwards, Julian Togelius, Stefanos Nikolaidis
2022	J	`jnl`	Generating Diverse Indoor Furniture Arrangements. CoRR Ya-Chuan Hsu, Matthew C. Fontaine, Sam Earle, Maria Edwards, Julian Togelius, Stefanos Nikolaidis
2022	A	`conf`	Illuminating diverse neural cellular automata for level generation. GECCO Sam Earle, Justin Snider, Matthew C. Fontaine, Stefanos Nikolaidis, Julian Togelius
2022	J	`jnl`	Preference-Driven Texture Modeling Through Interactive Generation and Search. IEEE Trans. Haptics Shihan Lu, Mianlun Zheng, Matthew C. Fontaine, Stefanos Nikolaidis, Heather Culbertson
2022	A*	`conf`	Towards Automating the Generation of Human-Robot Interaction Scenarios. AAAI Matthew C. Fontaine
2022	J	`jnl`	Training Diverse High-Dimensional Controllers by Scaling Covariance Matrix Adaptation MAP-Annealing. CoRR Bryon Tjanaka, Matthew C. Fontaine, Aniruddha Kalkar, Stefanos Nikolaidis
2021	—	`conf`	A Quality Diversity Approach to Automatically Generating Human-Robot Interaction Scenarios in Shared Autonomy. Robotics: Science and Systems Matthew C. Fontaine, Stefanos Nikolaidis
2021	J	`jnl`	Deep Surrogate Assisted MAP-Elites for Automated Hearthstone Deckbuilding. CoRR Yulun Zhang, Matthew C. Fontaine, Amy K. Hoover, Stefanos Nikolaidis
2021	A*	`conf`	Differentiable Quality Diversity. NeurIPS Matthew C. Fontaine, Stefanos Nikolaidis
2021	J	`jnl`	Differentiable Quality Diversity. CoRR Matthew C. Fontaine, Stefanos Nikolaidis
2021	J	`jnl`	Illuminating Diverse Neural Cellular Automata for Level Generation. CoRR Sam Earle, Justin Snider, Matthew C. Fontaine, Stefanos Nikolaidis, Julian Togelius
2021	A*	`conf`	Illuminating Mario Scenes in the Latent Space of a Generative Adversarial Network. AAAI Matthew C. Fontaine, Ruilin Liu, Ahmed Khalifa, Jignesh Modi, Julian Togelius, Amy K. Hoover, Stefanos Nikolaidis
2021	—	`conf`	On the Importance of Environments in Human-Robot Coordination. Robotics: Science and Systems Matthew C. Fontaine, Ya-Chuan Hsu, Yulun Zhang, Bryon Tjanaka, Stefanos Nikolaidis
2021	J	`jnl`	On the Importance of Environments in Human-Robot Coordination. CoRR Matthew C. Fontaine, Ya-Chuan Hsu, Yulun Zhang, Bryon Tjanaka, Stefanos Nikolaidis
2020	J	`jnl`	A Quality Diversity Approach to Automatically Generating Human-Robot Interaction Scenarios in Shared Autonomy. CoRR Matthew C. Fontaine, Stefanos Nikolaidis
2020	A	`conf`	Covariance matrix adaptation for the rapid illumination of behavior space. GECCO Matthew C. Fontaine, Julian Togelius, Stefanos Nikolaidis, Amy K. Hoover
2020	J	`jnl`	Illuminating Mario Scenes in the Latent Space of a Generative Adversarial Network. CoRR Matthew C. Fontaine, Ruilin Liu, Ahmed Khalifa, Julian Togelius, Amy K. Hoover, Stefanos Nikolaidis
2020	—	`conf`	Video Game Level Repair via Mixed Integer Linear Programming. AIIDE Hejia Zhang, Matthew C. Fontaine, Amy K. Hoover, Julian Togelius, Bistra Dilkina, Stefanos Nikolaidis
2020	J	`jnl`	Video Game Level Repair via Mixed Integer Linear Programming. CoRR Hejia Zhang, Matthew C. Fontaine, Amy K. Hoover, Julian Togelius, Bistra Dilkina, Stefanos Nikolaidis
2019	J	`jnl`	Covariance Matrix Adaptation for the Rapid Illumination of Behavior Space. CoRR Matthew C. Fontaine, Julian Togelius, Stefanos Nikolaidis, Amy K. Hoover
2019	C	`conf`	Evolving the Hearthstone Meta. CoG Fernando de Mesentier Silva, Rodrigo Canaan, Scott Lee, Matthew C. Fontaine, Julian Togelius, Amy K. Hoover
2019	J	`jnl`	Evolving the Hearthstone Meta. CoRR Fernando de Mesentier Silva, Rodrigo Canaan, Scott Lee, Matthew C. Fontaine, Julian Togelius, Amy K. Hoover
2019	J	`jnl`	Mapping Hearthstone Deck Spaces through MAP-Elites with Sliding Boundaries. CoRR Matthew C. Fontaine, Scott Lee, Lisa B. Soros, Fernando de Mesentier Silva, Julian Togelius, Amy K. Hoover
2019	A	`conf`	Mapping hearthstone deck spaces through MAP-elites with sliding boundaries. GECCO Matthew C. Fontaine, Scott Lee, Lisa B. Soros, Fernando de Mesentier Silva, Julian Togelius, Amy K. Hoover
2011	—	`conf`	Technological and Usability-Based Aspects of Distributed After Action Review in a Game-Based Training Setting. HCI (21) Matthew C. Fontaine, Glenn A. Martin, Jason Daly, Casey L. Thurston
2011	—	`conf`	User Interface and Information Management of Scenarios. HCI (11) Robert Louden, Matthew C. Fontaine, Glenn A. Martin, Jason Daly, Sae Lynne Schatz