Thayne T. Walker

Jaime S. Ide

Proceedings of the Advances and Trends in Artificial Intelligence. Theory and Applications, 2025

2024

On the Completeness of Conflict-Based Search: Temporally-Relative Duplicate Pruning.

[BibT_eX]

[DOI]

CoRR, 2024

Clique Analysis and Bypassing in Continuous-Time Conflict-Based Search.

[BibT_eX]

[DOI]

Proceedings of the Seventeenth International Symposium on Combinatorial Search, 2024

2023

Hierarchical Reinforcement Learning for Air Combat at DARPA's AlphaDogfight Trials.

[BibT_eX]

[DOI]

IEEE Trans. Artif. Intell., December, 2023

Multi-Agent Reinforcement Learning with Epistemic Priors.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Control, 2023

2021

Multi-Object Tracking with Deep Learning Ensemble for Unmanned Aerial System Applications.

[BibT_eX]

[DOI]

Christopher Guagliano

Henry Díaz

Jason C. Twedt

CoRR, 2021

Hierarchical Reinforcement Learning for Air-to-Air Combat.

[BibT_eX]

[DOI]

CoRR, 2021

Conflict-Based Increasing Cost Search.

[BibT_eX]

[DOI]

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

2020

Generalized and Sub-Optimal Bipartite Constraints for Conflict-Based Search.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Tech Report: Efficient and Exact Collision Detection for Circular Agents.

[BibT_eX]

[DOI]

CoRR, 2019

Unbounded Sub-Optimal Conflict-Based Search in Complex Domains.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Symposium on Combinatorial Search, 2019

Multi-Agent Pathfinding: Definitions, Variants, and Benchmarks.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Symposium on Combinatorial Search, 2019

2018

Extended Increasing Cost Tree Search for Non-Unit Cost Domains.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017

Using Hierarchical Constraints to Avoid Conflicts in Multi-Agent Pathfinding.

[BibT_eX]

[DOI]

David M. Chan