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Finding a Path is Harder than Finding a Tree

JOURNAL ARTICLE published 1 December 2001 in Journal of Artificial Intelligence Research

Authors: C. Meek

https://doi.org/10.1613/jair.914 Actions

Multi-Agent Path Finding: Policies Instead of Plans

PROCEEDINGS ARTICLE published 2024 in Proceedings of the 16th International Conference on Agents and Artificial Intelligence

Authors: Jakub Mestek | Roman Barták

https://doi.org/10.5220/0012397200003636 Actions

Heuristic search viewed as path finding in a graph

JOURNAL ARTICLE published January 1970 in Artificial Intelligence

Authors: Ira Pohl

https://doi.org/10.1016/0004-3702(70)90007-x Actions

Optimal Path-Finding Algorithms

BOOK CHAPTER published 1988 in Search in Artificial Intelligence

Authors: Richard E. Korf

https://doi.org/10.1007/978-1-4613-8788-6_7 Actions

Combining Strengths of Optimal Multi-Agent Path Finding Algorithms

PROCEEDINGS ARTICLE published 2019 in Proceedings of the 11th International Conference on Agents and Artificial Intelligence

Authors: Jiří Švancara | Roman Barták

https://doi.org/10.5220/0007470002260231 Actions

Candidate Path Selection Heuristics for Multi-Agent Path Finding: A Novel Compilation-Based Method

PROCEEDINGS ARTICLE published 2023 in Proceedings of the 15th International Conference on Agents and Artificial Intelligence

Authors: Pavel Surynek

https://doi.org/10.5220/0011693900003393 Actions

Highways in Warehouse Multi-Agent Path Finding: A Case Study

PROCEEDINGS ARTICLE published 2022 in Proceedings of the 14th International Conference on Agents and Artificial Intelligence

Authors: Vojtěch Rybář | Pavel Surynek

https://doi.org/10.5220/0010845200003116 Actions

Temporal segmentation in multi agent path finding with applications to explainability

JOURNAL ARTICLE published May 2024 in Artificial Intelligence

Research funded by H2020 Marie Skłodowska-Curie Actions (837327)

Authors: Shaull Almagor | Justin Kottinger | Morteza Lahijanian

https://doi.org/10.1016/j.artint.2024.104087 Actions

Multi-agent path finding with mutex propagation

JOURNAL ARTICLE published October 2022 in Artificial Intelligence

Research funded by National Science Foundation (1409987,1724392,1817189,1837779) | Grantová agentura České republiky (22-31346S)

Authors: Han Zhang | Jiaoyang Li | Pavel Surynek | T.K. Satish Kumar | Sven Koenig

https://doi.org/10.1016/j.artint.2022.103766 Actions

On Propositional Encodings of Cooperative Path-Finding

PROCEEDINGS ARTICLE published November 2012 in 2012 IEEE 24th International Conference on Tools with Artificial Intelligence

Authors: P. Surynek

https://doi.org/10.1109/ictai.2012.77 Actions

Priority inheritance with backtracking for iterative multi-agent path finding

JOURNAL ARTICLE published September 2022 in Artificial Intelligence

Research funded by Japan Society for the Promotion of Science (20J23011,21H03423,21K11748)

Authors: Keisuke Okumura | Manao Machida | Xavier Défago | Yasumasa Tamura

https://doi.org/10.1016/j.artint.2022.103752 Actions

X*: Anytime Multi-Agent Path Finding for Sparse Domains using Window-Based Iterative Repairs

JOURNAL ARTICLE published February 2021 in Artificial Intelligence

Authors: Kyle Vedder | Joydeep Biswas

https://doi.org/10.1016/j.artint.2020.103417 Actions

Engaging Undergraduates in Artificial Intelligence: Path Finding in Game Development

PROCEEDINGS ARTICLE published December 2018 in 2018 International Conference on Computational Science and Computational Intelligence (CSCI)

Authors: Kaleb Liburd | Marc Boumedine

https://doi.org/10.1109/csci46756.2018.00294 Actions

What Does Multi-agent Path-finding Tell Us About Intelligent Intersections

PROCEEDINGS ARTICLE published 2020 in Proceedings of the 12th International Conference on Agents and Artificial Intelligence

Authors: Věra Škopková | Roman Barták | Jiří Švancara

https://doi.org/10.5220/0009098502500257 Actions

New Flow-based Heuristic for Search Algorithms Solving Multi-agent Path Finding

PROCEEDINGS ARTICLE published 2017 in Proceedings of the 9th International Conference on Agents and Artificial Intelligence

Authors: Jiri Svancara | Pavel Surynek

https://doi.org/10.5220/0006184504510458 Actions

A sufficiently fast algorithm for finding close to optimal clique trees

JOURNAL ARTICLE published January 2001 in Artificial Intelligence

Authors: Ann Becker | Dan Geiger

https://doi.org/10.1016/s0004-3702(00)00075-8 Actions

Adversarial Cooperative Path-Finding: Complexity and Algorithms

PROCEEDINGS ARTICLE published November 2014 in 2014 IEEE 26th International Conference on Tools with Artificial Intelligence

Authors: Marika Ivanova | Pavel Surynek

https://doi.org/10.1109/ictai.2014.22 Actions

Game AI: artificial intelligence for 3D path finding

PROCEEDINGS ARTICLE published 2004 in 2004 IEEE Region 10 Conference TENCON 2004.

Authors: Y.C. Hui | E.C. Prakash | N.S. Chaudhari

https://doi.org/10.1109/tencon.2004.1414592 Actions

Bringing Multi-agent Path Finding Closer to Reality

PROCEEDINGS ARTICLE published July 2018 in Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence

Authors: Jiří Švancara

https://doi.org/10.24963/ijcai.2018/837 Actions

Volume Contents

JOURNAL ARTICLE published October 2001 in Artificial Intelligence in Engineering

https://doi.org/10.1016/s0954-1810(01)00029-2 Actions
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