Felipe Trevizan

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Sylvie ThiebauxThe Australian National University & LAAS-CNRS, University of ToulouseVerified email at anu.edu.au
Leliane Nunes de BarrosProfessor of the Computer Science Department at University of São Paulo, BrazilVerified email at ime.usp.br
Sam ToyerUC BerkeleyVerified email at berkeley.edu
Lexing XieProfessor at Australian National UniversityVerified email at anu.edu.au
William ShenMassachusetts Institute of TechnologyVerified email at mit.edu
Manuela M. VelosoHerbert A. Simon University Professor of Computer Science, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Fabio Gagliardi CozmanUniversidade de Sao PauloVerified email at usp.br
Brian WilliamsProfessor of Aeronautics and Astronautics, Massachusetts Institute of TechnologyVerified email at mit.edu
Florian GeißerUniversity of FreiburgVerified email at informatik.uni-freiburg.de
Patrik HaslumAustralian National UniversityVerified email at anu.edu.au
Dillon Ze ChenLAAS-CNRSVerified email at anu.edu.au
Joerg HoffmannProfessor, Saarland Informatics Campus, Saarland University and German Research Center for AI (DFKI)Verified email at cs.uni-saarland.de
Scott SannerUniversity of TorontoVerified email at mie.utoronto.ca
Iain GuilliardResearch Fellow, Australian National UniversityVerified email at anu.edu.au
Patrick FerberSaarland University, University of BaselVerified email at unibas.ch
Florent Teichteil-KönigsbuchAirbus Group InnovationsVerified email at airbus.com
Malte HelmertProfessor of Computer Science, University of BaselVerified email at unibas.ch
Mingyu HaoAustralian National UniversityVerified email at anu.edu.au
Peter BaumgartnerData61|CSIROVerified email at data61.csiro.au
Flavio Soares Correa da SilvaProfessor of Computer Science, University of Sao PauloVerified email at ime.usp.br

Felipe Trevizan

Australian National University

Verified email at anu.edu.au - Homepage

Planning under uncertainty Automated Planning Heuristic Search Artificial Intelligence


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Action schema networks: Generalised policies with deep learning S Toyer, F Trevizan, S Thiébaux, L Xie Thirty-Second AAAI Conference on Artificial Intelligence, 2018	122	2018
Learning domain-independent planning heuristics with hypergraph networks W Shen, F Trevizan, S Thiébaux Proceedings of the International Conference on Automated Planning and …, 2020	103	2020
ASNets: Deep Learning for Generalised Planning S Toyer, S Thiébaux, F Trevizan, L Xie Journal of Artificial Intelligence Research 68, 1-68, 2020	88	2020
Planning under Risk and Knightian Uncertainty. FW Trevizan, FG Cozman, LN de Barros IJCAI 2007, 2023-2028, 2007	61	2007
Occupation measure heuristics for probabilistic planning F Trevizan, S Thiébaux, P Haslum Proceedings of the International Conference on Automated Planning and …, 2017	51	2017
Heuristic search in dual space for constrained stochastic shortest path problems F Trevizan, S Thiébaux, P Santana, B Williams Twenty-Sixth International Conference on Automated Planning and Scheduling, 2016	48	2016
Efficient solutions for Stochastic Shortest Path Problems with Dead Ends. FW Trevizan, F Teichteil-Königsbuch, S Thiébaux UAI, 2017	38	2017
Neural network heuristic functions for classical planning: Bootstrapping and comparison to other methods P Ferber, F Geißer, F Trevizan, M Helmert, J Hoffmann Proceedings of the International Conference on Automated Planning and …, 2022	24	2022
Multilinear and Integer Programming for Markov Decision Processes with Imprecise Probabilities R Shirota Filho, FG Cozman, FW Trevizan, CP de Campos, LN de Barros International Symposium on Imprecise Probability: Theories, 2007	23	2007
Depth-based short-sighted stochastic shortest path problems FW Trevizan, MM Veloso Artificial Intelligence 216, 179-205, 2014	22	2014
Short-Sighted Stochastic Shortest Path Problems FW Trevizan, MM Veloso Proc. of 22nd Int. Joint Conference on Automated Planning and Scheduling (ICAPS), 2012	22	2012
I-dual: solving constrained SSPs via heuristic search in the dual space F Trevizan, S Thiébaux, P Santana, B Williams Proceedings of the 26th International Joint Conference on Artificial …, 2017	19	2017
Learning Opponent’s Strategies In the RoboCup Small Size League FW Trevizan, MM Veloso 9th International Conference on Autonomous Agents and Multi-Agent Systems …, 2010	17	2010
Admissible Heuristics for Multi-Objective Planning F Geißer, P Haslum, S Thiébaux, F Trevizan Proceedings of the International Conference on Automated Planning and …, 2022	15	2022
Guiding search with generalized policies for probabilistic planning W Shen, F Trevizan, S Toyer, S Thiébaux, L Xie Proceedings of the International Symposium on Combinatorial Search 10 (1 …, 2019	15	2019
A Non-homogeneous Time Mixed Integer LP Formulation for Traffic Signal Control I Guilliard, S Sanner, FW Trevizan, BC Williams Transportation Research Board 95th Annual Meeting, 2016	14	2016
Learning Domain-Independent Heuristics for Grounded and Lifted Planning DZ Chen, S Thiébaux, F Trevizan Proceedings of the AAAI Conference on Artificial Intelligence 38 (18), 20078 …, 2024	13	2024
Optimal and Heuristic Approaches for Constrained Flight Planning under Weather Uncertainty F Geißer, G Povéda, F Trevizan, M Bondouy, F Teichteil-Königsbuch, ... Proceedings of the International Conference on Automated Planning and …, 2020	12	2020
Heuristic search planning with multi-objective probabilistic LTL constraints P Baumgartner, S Thiébaux, F Trevizan Sixteenth international conference on principles of knowledge representation …, 2018	12	2018
Mitigating the impact of light rail on urban traffic networks using mixed-integer linear programming I Guilliard, F Trevizan, S Sanner IET Intelligent Transport Systems 14 (6), 523-533, 2020	10	2020

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