Scalable Bottom-Up Hierarchical Clustering. - Nicholas Monath; Avinava Dubey; Guru Guruganesh; Manzil Zaheer; Amr Ahmed 001; Andrew McCallum; Gökhan Mergen; Marc Najork; Mert Terzihan; Bryon Tjanaka; Yuan Wang; Yuchen Wu (CoRR, 2020)

Scalable Hierarchical Agglomerative Clustering. - Nicholas Monath; Kumar Avinava Dubey; Guru Guruganesh; Manzil Zaheer; Amr Ahmed 001; Andrew McCallum; Gökhan Mergen; Marc Najork; Mert Terzihan; Bryon Tjanaka; Yuan Wang; Yuchen Wu (KDD, 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)

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

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

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

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)

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 for Robot Learning: Limitations and Future Directions. - Sumeet Batra; Bryon Tjanaka; Stefanos Nikolaidis; Gaurav S. Sukhatme (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)

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