Publications

$^U$ denotes mentored Undergrads.

Cheng Qian$^U$, Yulun Zhang, Varun Bhatt, Matthew Christopher Fontaine, Stefanos Nikolaidis, Jiaoyang Li. A Quality Diversity Approach to Automatically Generate Multi-Agent Path Finding Benchmark Maps. Preprint, 2024.

Yulun Zhang, He Jiang, Varun Bhatt, Stefanos Nikolaidis, Jiaoyang Li. Guidance Graph Optimization for Lifelong Multi-Agent Path Finding. In Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI), August 03–09, Jeju, Korea, 2024.

Paul Friedrich, Yulun Zhang, Michael Curry, Ludwig Dierks, Stephen McAleer, Jiaoyang Li, Tuomas Sandholm, Sven Seuken. Scalable Mechanism Design for Multi-Agent Path Finding. In Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI), August 03–09, Jeju, Korea, 2024.

He Jiang, Yulun Zhang, Rishi Veerapaneni, Jiaoyang Li. Scaling Lifelong Multi-Agent Path Finding to More Realistic Settings: Research Challenges and Opportunities. In Proceedings of the Symposium on Combinatorial Search (SoCS), June 06-08, Kananaskis, Alberta, Canada, 2024.

Yulun Zhang, Matthew C. Fontaine, Varun Bhatt, Stefanos Nikolaidis, Jiaoyang Li. Arbitrarily Scalable Environment Generators via Neural Cellular Automata. In Proceedings of the Advances in Neural Information Processing Systems (NeurIPS), December 10–16, New Orleans, LA, USA, 2023.

Yulun Zhang, Matthew C. Fontaine, Varun Bhatt, Stefanos Nikolaidis, Jiaoyang Li. Multi-Robot Coordination and Layout Design for Automated Warehousing. In Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI), August 19–25, Macao, China, 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. In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO), July 15–19, Lisbon, Portugal, 2023.

K.R. Zentner, Ujjwal Puri, Yulun Zhang, Ryan C. Julian, Gaurav S. Sukhatme. Efficient Multi-Task Learning via Iterated Single-Task Transfer. In Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), October 23-27, Kyoto, Japan, 2022.

Yulun Zhang, Matthew C. Fontaine, Amy K. Hoover, Stefanos Nikolaidis. Deep Surrogate Assisted MAP-Elites for Automated Hearthstone Deckbuilding. In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO), July 9–13, Boston, MA, USA, 2022.

K.R. Zentner, Ryan C. Julian, Ujjwal Puri, Yulun Zhang, Gaurav S. Sukhatme. A Simple Approach to Continual Learning by Transferring Skill Parameters. Preprint, 2021.

Matthew Rueben, Mohammad Syed, Emily London, Mark Camarena, Eunsook Shin, Yulun Zhang, Timothy S. Wang, Thomas R. Groechel, Rhianna Lee, Maja J. Matarić. Long-Term, in-the-Wild Study of Feedback about Speech Intelligibility for K-12 Students Attending Class via a Telepresence Robot. In Proceedings of the International Conference on Multimodal Interaction (ICMI), October 18–22, Montréal, QC, Canada, 2021.

Matthew C. Fontaine, Ya-Chuan Hsu, Yulun Zhang, Bryon Tjanaka, Stefanos Nikolaidis. On the Importance of Environments in Human-Robot Coordination. In Proceedings of Robotics: Science and Systems (RSS), July 12–16, 2021.

K.R. Zentner, Ryan C. Julian, Ujjwal Puri, Yulun Zhang, Gaurav S. Sukhatme. Towards Exploiting Geometry and Time for Fast Off-Distribution Adaptation in Multi-Task Robot Learning. In NeurIPS 2020 Workshop: Challenges of Real World Reinforcement Learning, December 12, 2020.

Matthew Rueben, Thomas Groechel, Yulun Zhang, Gisele Ragusa, Maja J. Matarić. Increasing Telepresence Robot Operator Awareness of Speaking Volume Appropriateness: Initial Model Development. In Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction (HRI), March 24-26, Cambridge, United Kingdom, 2020.