Zhe Chen

According to our database, Zhe Chen authored at least 16 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Planning and Exection in Multi-Agent Path Finding: Models and Algorithms (Extended Abstract).

Yue Zhang, Zhe Chen, Daniel Harabor, Pierre Le Bodic, Peter J. Stuckey

Proceedings of the Seventeenth International Symposium on Combinatorial Search, 2024

Prioritised Planning with Guarantees.

Jonathan Morag, Yue Zhang, Daniel Koyfman, Zhe Chen, Ariel Felner, Daniel Harabor, Roni Stern

Proceedings of the Seventeenth International Symposium on Combinatorial Search, 2024

Traffic Flow Optimisation for Lifelong Multi-Agent Path Finding (Extended Abstract).

Zhe Chen, Daniel Harabor, Jiaoyang Li, Peter J. Stuckey

Proceedings of the Seventeenth International Symposium on Combinatorial Search, 2024

A Real-Time Rescheduling Algorithm for Multi-robot Plan Execution.

Ying Feng, Adittyo Paul, Zhe Chen, Jiaoyang Li

Proceedings of the Thirty-Fourth International Conference on Automated Planning and Scheduling, 2024

Anytime Multi-Agent Path Finding using Operation Parallelism in Large Neighborhood Search.

Shao-Hung Chan, Zhe Chen, Dian-Lun Lin, Yue Zhang, Daniel Harabor, Sven Koenig, Tsung-Wei Huang, Thomy Phan

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

Traffic Flow Optimisation for Lifelong Multi-Agent Path Finding.

Zhe Chen, Daniel Harabor, Jiaoyang Li, Peter J. Stuckey

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Scalable Rail Planning and Replanning with Soft Deadlines.

Zhe Chen, Jiaoyang Li, Daniel Harabor, Peter J. Stuckey

CoRR, 2023

Tracking Progress in Multi-Agent Path Finding.

Bojie Shen, Zhe Chen, Muhammad Aamir Cheema, Daniel Damir Harabor, Peter J. Stuckey

CoRR, 2023

Beyond Pairwise Reasoning in Multi-Agent Path Finding.

Bojie Shen, Zhe Chen, Jiaoyang Li, Muhammad Aamir Cheema, Daniel Damir Harabor, Peter J. Stuckey

Proceedings of the Thirty-Third International Conference on Automated Planning and Scheduling, 2023

2022

Multi-Train Path Finding Revisited.

Zhe Chen, Jiaoyang Li, Daniel Harabor, Peter J. Stuckey, Sven Koenig

Proceedings of the Fifteenth International Symposium on Combinatorial Search, 2022

MAPF-LNS2: Fast Repairing for Multi-Agent Path Finding via Large Neighborhood Search.

Jiaoyang Li, Zhe Chen, Daniel Harabor, Peter J. Stuckey, Sven Koenig

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Integrated Task Assignment and Path Planning for Capacitated Multi-Agent Pickup and Delivery.

Zhe Chen, Javier Alonso-Mora, Xiaoshan Bai, Daniel Damir Harabor, Peter J. Stuckey

IEEE Robotics Autom. Lett., 2021

Anytime Multi-Agent Path Finding via Large Neighborhood Search.

Jiaoyang Li, Zhe Chen, Daniel Harabor, Peter J. Stuckey, Sven Koenig

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Scalable Rail Planning and Replanning: Winning the 2020 Flatland Challenge.

Jiaoyang Li, Zhe Chen, Yi Zheng, Shao-Hung Chan, Daniel Harabor, Peter J. Stuckey, Hang Ma, Sven Koenig

Proceedings of the Thirty-First International Conference on Automated Planning and Scheduling, 2021

Symmetry Breaking for k-Robust Multi-Agent Path Finding.

Zhe Chen, Daniel Damir Harabor, Jiaoyang Li, Peter J. Stuckey

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Flatland Competition 2020: MAPF and MARL for Efficient Train Coordination on a Grid World.

Florian Laurent, Manuel Schneider, Christian Scheller, Jeremy D. Watson, Jiaoyang Li, Zhe Chen, Yi Zheng, Shao-Hung Chan, Konstantin Makhnev, Oleg Svidchenko, Vladimir Egorov, Dmitry Ivanov, Aleksei Shpilman, Evgenija Spirovska, Oliver Tanevski, Aleksandar Nikov, Ramon Grunder, David Galevski, Jakov Mitrovski, Guillaume Sartoretti, Zhiyao Luo, Mehul Damani, Nilabha Bhattacharya, Shivam Agarwal, Adrian Egli, Erik Nygren, Sharada P. Mohanty

Proceedings of the NeurIPS 2020 Competition and Demonstration Track, 2020