Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Felipe Trevizan"'
Publikováno v:
Proceedings of the International Conference on Automated Planning and Scheduling. 32:100-109
Planning problems of practical relevance commonly include multiple objectives that are difficult to weight a priori. Several heuristic search algorithms computing the Pareto front of non-dominated solutions have been proposed to handle these multi-ob
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 35:11870-11879
Probabilistic planning subject to multi-objective probabilistic temporal logic (PLTL) constraints models the problem of computing safe and robust behaviours for agents in stochastic environments. We present novel admissible heuristics to guide the se
Autor:
Florian Geißer, Guillaume Povéda, Felipe Trevizan, Manon Bondouy, Florent Teichteil-Königsbuch, Sylvie Thiébaux
Publikováno v:
Proceedings of the International Conference on Automated Planning and Scheduling. 30:384-393
Aircraft flight planning is impacted by weather uncertainties. Existing approaches to flight planning are either deterministic and load additional fuel to account for uncertainty, or probabilistic but have to plan in 4D space. If constraints are impo
We present the first approach capable of learning domain-independent planning heuristics entirely from scratch. The heuristics we learn map the hypergraph representation of the delete-relaxation of the planning problem at hand, to a cost estimate tha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::62c22cf12f57f02f05a542a0d927ebd4
http://arxiv.org/abs/1911.13101
http://arxiv.org/abs/1911.13101
Publikováno v:
Proceedings of the International Conference on Automated Planning and Scheduling. 27:306-315
For the past 25 years, heuristic search has been used to solve domain-independent probabilistic planning problems, but with heuristics that determinise the problem and ignore precious probabilistic information. To remedy this situation, we explore th
Publikováno v:
Proceedings of the International Conference on Automated Planning and Scheduling. 26:326-334
We consider the problem of generating optimal stochastic policies for Constrained Stochastic Shortest Path problems, which are a natural model for planning under uncertainty for resource-bounded agents with multiple competing objectives. While uncons
Autor:
Omar Ahmad Omar, Thaís Moura Borille, Vitor Hugo Boer, Filipe Raulino Cabral, Daiane Malacarne, Amauri de Oliveira Junior, Felipe Trevizan Sartori, Leandro José Haas, Sthephanie Lindner, Celso Itiberê Bernardes, Danielle de Lara, Caroline Barbosa Lima, Luis Renato Mello, Evelyn Della Giustina, Marina Piquet Sarmento
Publikováno v:
Arquivos Brasileiros de Neurocirurgia: Brazilian Neurosurgery.
Autor:
Celso Itiberê Bernardes, Danielle de Lara, Natalia Marques, Amauri de Oliveira Junior, Luis de Oliveira Mello, Filipe Cabral, Sthephanie Lindner, Vitor Hugo Boer, Felipe Trevizan Sartori, Leandro José Haas, Thaize Regina Scramocin, Bruno Sabel, Letícia Saori Tutida, Daiane Malacarne, Evelyn Della Giustina
Publikováno v:
Arquivos Brasileiros de Neurocirurgia: Brazilian Neurosurgery.
Autor:
Liz Caroline de Oliveira Camilo, Daiane Malacarne, Sthephanie Lindner, Willian Rafael Berticelli, Omar Ahmad Omar, Felipe Trevizan Sartori, Leandro José Haas, Luis de Oliveira Mello, Evelyn Della Giustina, Thaís Moura Borille, Vitor Dias de Almeida, Bruno Sabel, Letícia Saori Tutida, Natalia Marques, Amauri de Oliveira Junior
Publikováno v:
Arquivos Brasileiros de Neurocirurgia: Brazilian Neurosurgery.
Autor:
Felipe Trevizan Sartori, Leandro José Haas, Vitor Hugo Boer, Willian Rafael Berticelli, Sthephanie Lindner, Luis Renato Mello, Danielle de Lara, Amauri de Oliveira Junior, Mateus Campestrini Harger, Liz Caroline de Oliveira Camilo, Celso Itiberê Bernardes, Vitor Dias de Almeida, Marina Piquet Sarmento, Daiane Malacarne, Caio Gabriel Jeronymo Lima Brasileiro
Publikováno v:
Arquivos Brasileiros de Neurocirurgia: Brazilian Neurosurgery.