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Home / Proceedings / Proceedings of the International Conference on Automated Planning and Scheduling, 29 / Book One

Best-First Width Search for Multi Agent Privacy-Preserving Planning

February 1, 2023

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Authors

Alfonso E. Gerevini,Nir Lipovetzky,Francesco Percassi,Alessandro Saetti,Ivan Serina

University of Brescia,The University of Melbourne,University of Brescia,University of Brescia,University of Brescia


DOI:

10.1609/icaps.v29i1.3472


Abstract:

In multi-agent planning, preserving the agents’ privacy has become an increasingly popular research topic. For preserving the agents’ privacy, agents jointly compute a plan that achieves mutual goals by keeping certain information private to the individual agents. Unfortunately, this can severely restrict the accuracy of the heuristic functions used while searching for solutions. It has been recently shown that, for centralized planning, the performance of goal oriented search can be improved by combining goal oriented search and width-based search. The combination of these techniques has been called best-first width search. In this paper, we investigate the usage of best-first width search in the context of (decentralised) multi-agent privacy-preserving planning, addressing the challenges related to the agents’ privacy and performance. In particular, we show that best-first width search is a very effective approach over several benchmark domains, even when the search is driven by heuristics that roughly estimate the distance from goal states, computed without using the private information of other agents. An experimental study analyses the effectiveness of our techniques and compares them with the state-of-the-art.

Topics: ICAPS

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HOW TO CITE:

Alfonso E. Gerevini,Nir Lipovetzky,Francesco Percassi,Alessandro Saetti,Ivan Serina Best-First Width Search for Multi Agent Privacy-Preserving Planning Proceedings of the International Conference on Automated Planning and Scheduling, 29 (2019) 163-171.

Alfonso E. Gerevini,Nir Lipovetzky,Francesco Percassi,Alessandro Saetti,Ivan Serina Best-First Width Search for Multi Agent Privacy-Preserving Planning ICAPS 2019, 163-171.

Alfonso E. Gerevini,Nir Lipovetzky,Francesco Percassi,Alessandro Saetti,Ivan Serina (2019). Best-First Width Search for Multi Agent Privacy-Preserving Planning. Proceedings of the International Conference on Automated Planning and Scheduling, 29, 163-171.

Alfonso E. Gerevini,Nir Lipovetzky,Francesco Percassi,Alessandro Saetti,Ivan Serina. Best-First Width Search for Multi Agent Privacy-Preserving Planning. Proceedings of the International Conference on Automated Planning and Scheduling, 29 2019 p.163-171.

Alfonso E. Gerevini,Nir Lipovetzky,Francesco Percassi,Alessandro Saetti,Ivan Serina. 2019. Best-First Width Search for Multi Agent Privacy-Preserving Planning. "Proceedings of the International Conference on Automated Planning and Scheduling, 29". 163-171.

Alfonso E. Gerevini,Nir Lipovetzky,Francesco Percassi,Alessandro Saetti,Ivan Serina. (2019) "Best-First Width Search for Multi Agent Privacy-Preserving Planning", Proceedings of the International Conference on Automated Planning and Scheduling, 29, p.163-171

Alfonso E. Gerevini,Nir Lipovetzky,Francesco Percassi,Alessandro Saetti,Ivan Serina, "Best-First Width Search for Multi Agent Privacy-Preserving Planning", ICAPS, p.163-171, 2019.

Alfonso E. Gerevini,Nir Lipovetzky,Francesco Percassi,Alessandro Saetti,Ivan Serina. "Best-First Width Search for Multi Agent Privacy-Preserving Planning". Proceedings of the International Conference on Automated Planning and Scheduling, 29, 2019, p.163-171.

Alfonso E. Gerevini,Nir Lipovetzky,Francesco Percassi,Alessandro Saetti,Ivan Serina. "Best-First Width Search for Multi Agent Privacy-Preserving Planning". Proceedings of the International Conference on Automated Planning and Scheduling, 29, (2019): 163-171.

Alfonso E. Gerevini,Nir Lipovetzky,Francesco Percassi,Alessandro Saetti,Ivan Serina. Best-First Width Search for Multi Agent Privacy-Preserving Planning. ICAPS[Internet]. 2019[cited 2023]; 163-171.


ISSN: 2334-0843


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