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Click here for Guillaume's personal webpage.
- T. Duhan, C. He and G. Sartoretti. P3GASUS: Pre-Planned Path Execution Graphs for Multi-Agent Systems at Ultra-Large Scale. IEEE Robotics and Automation Letters, 11, (2), 1274-1281, 2026.
- Y. Wang, T. Duhan, J. Li and G. Sartoretti. LNS2+RL: Combining Multi-Agent Reinforcement Learning with Large Neighborhood Search in Multi-Agent Path Finding. In AAAI Conference on Artificial Intelligence (AAAI), 23343-23350, 2025.
- C. He, T. Duhan, P. Tulsyan, P. Kim and G. Sartoretti. Social Behavior as a Key to Learning-Based Multi-Agent Pathfinding Dilemmas. Artificial Intelligence, 348, 104397, 2025.
- H. Jiang, Y. Wang, R. Veerapaneni, T. Duhan, G. Sartoretti and J. Li. Deploying Ten Thousand Robots: Scalable Imitation Learning for Lifelong Multi-Agent Path Finding. In International Conference on Robotics and Automation (ICRA), 1-7, 2025.
- H. Jiang, Y. Wang, R. Veerapaneni, T. Harish Duhan, G. Sartoretti and J. Li. Deploying Ten Thousand Robots: Scalable Imitation Learning for Lifelong Multi-Agent Path Finding. In IEEE International Conference on Robotics and Automation (ICRA), 7342-7348, 2025.
- C. He, T. Yang, T. Duhan, Y. Wang and G. Sartoretti. ALPHA: Attention-Based Long-Horizon Pathfinding in Highly-Structured Areas. In IEEE International Conference on Robotics and Automation (ICRA), 2024.
- Y. Yang, M. Fan, C. He, J. Wang, H. Huang and G. Sartoretti. Attention-Based Priority Learning for Limited Time Multi-Agent Path Finding. 2024.
- Y. Wang, B. Xiang, S. Huang and G. Sartoretti. SCRIMP: Scalable Communication for Reinforcement- and Imitation-Learning-Based Multi-Agent Pathfinding [Extended Abstract]. 2023.
- Y. Wang, B. Xiang, S. Huang and G. Sartoretti. SCRIMP: Scalable Communication for Reinforcement- and Imitation-Learning-Based Multi-Agent Pathfinding [Extended Abstract]. In IEEE International Conference on Intelligent Robots and Systems (IROS), 2023.
- M. Damani, Z. Luo, E. Wenzel and G. Sartoretti. PRIMAL2: Pathfinding via Reinforcement and Imitation Multi-Agent Learning - Lifelong. IEEE Robotics and Automation Letters, 6, (2), 2666-2673, 2021.
- G. Sartoretti, J. Kerr, Y. Shi, G. Wagner, S. Kumar, S. Koenig and H. Choset. PRIMAL: Pathfinding via Reinforcement and Imitation Multi-Agent Learning. IEEE Robotics and Automation Letters, 4, (3), 2378-2385, 2019.
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