Technological and Usability-Based Aspects of Distributed After Action Review in a Game-Based Training Setting. - Matthew C. Fontaine; Glenn A. Martin; Jason Daly; Casey L. Thurston (HCI (21), 2011)

User Interface and Information Management of Scenarios. - Robert Louden; Matthew C. Fontaine; Glenn A. Martin; Jason Daly; Sae Lynne Schatz (HCI (11), 2011)

Evolving the Hearthstone Meta. - Fernando de Mesentier Silva; Rodrigo Canaan; Scott Lee; Matthew C. Fontaine; Julian Togelius; Amy K. Hoover (CoG, 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 (GECCO, 2019)

Video Game Level Repair via Mixed Integer Linear Programming. - Hejia Zhang; Matthew C. Fontaine; Amy K. Hoover; Julian Togelius; Bistra Dilkina; Stefanos Nikolaidis (AIIDE, 2020)

Covariance matrix adaptation for the rapid illumination of behavior space. - Matthew C. Fontaine; Julian Togelius; Stefanos Nikolaidis; Amy K. Hoover (GECCO, 2020)

Illuminating Mario Scenes in the Latent Space of a Generative Adversarial Network. - Matthew C. Fontaine; Ruilin Liu; Ahmed Khalifa 001; Julian Togelius; Amy K. Hoover; Stefanos Nikolaidis (CoRR, 2020)

Illuminating Mario Scenes in the Latent Space of a Generative Adversarial Network. - Matthew C. Fontaine; Ruilin Liu; Ahmed Khalifa 001; Jignesh Modi; Julian Togelius; Amy K. Hoover; Stefanos Nikolaidis (AAAI, 2021)

Differentiable Quality Diversity. - Matthew C. Fontaine; Stefanos Nikolaidis (NeurIPS, 2021)

On the Importance of Environments in Human-Robot Coordination. - Matthew C. Fontaine; Ya-Chuan Hsu; Yulun Zhang 002; Bryon Tjanaka; Stefanos Nikolaidis (Robotics: Science and Systems, 2021)

A Quality Diversity Approach to Automatically Generating Human-Robot Interaction Scenarios in Shared Autonomy. - Matthew C. Fontaine; Stefanos Nikolaidis (Robotics: Science and Systems, 2021)

Towards Automating the Generation of Human-Robot Interaction Scenarios. - Matthew C. Fontaine (AAAI, 2022)

Illuminating diverse neural cellular automata for level generation. - Sam Earle; Justin Snider; Matthew C. Fontaine; Stefanos Nikolaidis; Julian Togelius (GECCO, 2022)

Approximating gradients for differentiable quality diversity in reinforcement learning. - Bryon Tjanaka; Matthew C. Fontaine; Julian Togelius; Stefanos Nikolaidis (GECCO, 2022)

Deep surrogate assisted MAP-elites for automated hearthstone deckbuilding. - Yulun Zhang 002; Matthew C. Fontaine; Amy K. Hoover; Stefanos Nikolaidis (GECCO, 2022)

Deep Surrogate Assisted Generation of Environments. - Varun Bhatt; Bryon Tjanaka; Matthew C. Fontaine; Stefanos Nikolaidis (NeurIPS, 2022)

Generating Diverse Indoor Furniture Arrangements. - Ya-Chuan Hsu; Matthew C. Fontaine; Sam Earle; Maria Edwards; Julian Togelius; Stefanos Nikolaidis (SIGGRAPH Posters, 2022)

Training Diverse High-Dimensional Controllers by Scaling Covariance Matrix Adaptation MAP-Annealing. - Bryon Tjanaka; Matthew C. Fontaine; Aniruddha Kalkar; Stefanos Nikolaidis (CoRR, 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)

Preference-Driven Texture Modeling Through Interactive Generation and Search. - Shihan Lu; Mianlun Zheng; Matthew C. Fontaine; Stefanos Nikolaidis; Heather Culbertson (IEEE Trans. Haptics, 2022)

Surrogate Assisted Generation of Human-Robot Interaction Scenarios. - Varun Bhatt; Heramb Nemlekar; Matthew Christopher Fontaine; Bryon Tjanaka; Hejia Zhang; Ya-Chuan Hsu; Stefanos Nikolaidis (CoRL, 2023)

Covariance Matrix Adaptation MAP-Annealing. - Matthew C. Fontaine; Stefanos Nikolaidis (GECCO, 2023)

pyribs: A Bare-Bones Python Library for Quality Diversity Optimization. - Bryon Tjanaka; Matthew C. Fontaine; David H. Lee; Yulun Zhang 002; Nivedit Reddy Balam; Nathaniel Dennler; Sujay S. Garlanka; Nikitas Dimitri Klapsis; Stefanos Nikolaidis (GECCO, 2023)

Multi-Robot Coordination and Layout Design for Automated Warehousing. - Yulun Zhang 002; Matthew C. Fontaine; Varun Bhatt; Stefanos Nikolaidis; Jiaoyang Li 001 (IJCAI, 2023)

Arbitrarily Scalable Environment Generators via Neural Cellular Automata. - Yulun Zhang 002; Matthew C. Fontaine; Varun Bhatt; Stefanos Nikolaidis; Jiaoyang Li 001 (NeurIPS, 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., 2023)

Quality-Diversity Generative Sampling for Learning with Synthetic Data. - Allen Chang; Matthew C. Fontaine; Serena Booth; Maja J. Mataric; Stefanos Nikolaidis (AAAI, 2024)

Generating Diverse Critics for Conditioned Policy Distillation. - Ryan Boldi; Matthew C. Fontaine; Sumeet Batra; Gaurav S. Sukhatme; Stefanos Nikolaidis (GECCO Companion, 2024)

Density Descent for Diversity Optimization. - David H. Lee; Anishalakshmi V. Palaparthi; Matthew C. Fontaine; Bryon Tjanaka; Stefanos Nikolaidis (GECCO, 2024)

Proximal Policy Gradient Arborescence for Quality Diversity Reinforcement Learning. - Sumeet Batra; Bryon Tjanaka; Matthew Christopher Fontaine; Aleksei Petrenko; Stefanos Nikolaidis; Gaurav S. Sukhatme (ICLR, 2024)

Multi-Robot Coordination and Layout Design for Automated Warehousing (Extended Abstract). - Yulun Zhang 002; Matthew C. Fontaine; Varun Bhatt; Stefanos Nikolaidis; Jiaoyang Li 001 (SOCS, 2024)

Arbitrarily Scalable Environment Generators via Neural Cellular Automata (Extended Abstract). - Yulun Zhang 002; Matthew C. Fontaine; Varun Bhatt; Stefanos Nikolaidis; Jiaoyang Li 001 (SOCS, 2024)

A Quality Diversity Approach to Automatically Generate Multi-Agent Path Finding Benchmark Maps. - Cheng Qian; Yulun Zhang 002; Varun Bhatt; Matthew Christopher Fontaine; Stefanos Nikolaidis; Jiaoyang Li 001 (CoRR, 2024)

Covariance Matrix Adaptation MAP-Annealing: Theory and Experiments. - Shihan Zhao; Bryon Tjanaka; Matthew C. Fontaine; Stefanos Nikolaidis (ACM Trans. Evol. Learn. Optim., 2025)