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Click here for Taoan's personal webpage.
- T. Huang. Improving Decision-Making in Search Algorithms for Combinatorial Optimization with Machine Learning. PhD thesis, Department of Computer Science, University of Southern California, Los Angeles (California), 2024.
- T. Phan, T. Huang, B. Dilkina and S. Koenig. Adaptive Anytime Multi-Agent Path Finding Using Bandit-Based Large Neighborhood Search. In AAAI Conference on Artificial Intelligence (AAAI), (in print), 2024.
- T. Huang, V. Shivashankar, M. Caldara, J. Durham, J. Li, B. Dilkina and S. Koenig. Deadline-Aware Multi-Agent Tour Planning. In International Conference on Automated Planning and Scheduling (ICAPS), 2023.
- S. Wang, V. Bulitko, T. Huang, S. Koenig and R. Stern. Synthesizing Priority Planning Formulae for Multi-Agent Pathfinding. In Artificial Intelligence and Interactive Digital Entertainment Conference (AIIDE), 360-369, 2023.
- T. Huang, J. Li, S. Koenig and B. Dilkina. Anytime Multi-Agent Path Finding via Machine Learning-Guided Large Neighborhood Search. In AAAI Conference on Artificial Intelligence (AAAI), 2022.
- S. Zhang, J. Li, T. Huang, S. Koenig and B. Dilkina. Learning a Priority Ordering for Prioritized Planning in Multi-Agent Path Finding. In Symposium on Combinatorial Search (SoCS), 2022.
- T. Huang, S. Koenig and B. Dilkina. Learning to Resolve Conflicts for Multi-Agent Path Finding with Conflict-Based Search. In AAAI Conference on Artificial Intelligence (AAAI), 11246-11253, 2021.
- T. Huang, B. Dilkina and S. Koenig. Learning Node-Selection Strategies in Bounded-Suboptimal Conflict-Based Search for Multi-Agent Path Finding. In International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS), 611-619, 2021.
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