Fontaine, Matthew Christopher

7 publications

ICLR 2026 Discount Model Search for Quality Diversity Optimization in High-Dimensional Measure Spaces Bryon Tjanaka, Henry Chen, Matthew Christopher Fontaine, Stefanos Nikolaidis

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

CoRL 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

ICLRW 2022 DSA-ME: Deep Surrogate Assisted MAP-Elites Yulun Zhang, Matthew Christopher Fontaine, Amy K Hoover, Stefanos Nikolaidis

ICLRW 2022 Differentiable Quality Diversity for Reinforcement Learning by Approximating Gradients Bryon Tjanaka, Matthew Christopher Fontaine, Julian Togelius, Stefanos Nikolaidis

NeurIPSW 2022 Scaling Covariance Matrix Adaptation MAP-Annealing to High-Dimensional Controllers Bryon Tjanaka, Matthew Christopher Fontaine, Aniruddha Kalkar, Stefanos Nikolaidis

NeurIPSW 2022 Scaling Covariance Matrix Adaptation MAP-Annealing to High-Dimensional Controllers Bryon Tjanaka, Matthew Christopher Fontaine, Aniruddha Kalkar, Stefanos Nikolaidis