Trustworthy Planning and Scheduling with Learning and Explanations

Rezultaty

GitHub/TUPLES lab - simulators & planning domains

Use case simulators and planning domains hosted on GitHub/TUPLES lab (M18, Software).

Fram. learning with robustness guarantees

Framework for policy learning with decision-robustness guarantees (M18, Software).

Expl. ML models and systems of constraints

Explanations for ML models and systems of constraints (M12, Report+Software).

Fram. for robustness verification of policies

Framework for robustness verification of policy-decisions (M18, Software).

Expl. policies in non-learning based P&S

Explanations for action policies in non-learning based scheduling and planning (M18, Report+Software).

Methods for integration of LRNNs into P&S

Methods for integration of LRNNs into planning and scheduling domains (M18, software, report)

Integrated online/offline (re-)scheduling

Integrated offline/online scheduling and rescheduling solutions (M18, Report).

Robust integration of learning and solving

Robust integrated learning and solving with predicted costs (M18, Report).

Publikacje

Safe Reinforcement Learning Through Regret and State Restorations in Evaluation Stages

Autorzy: Timo P. Gros, Nicola J. Müller, Daniel Höller, Verena Wolf
Opublikowane w: Proceedings of the Workshop on Reliable Data-Driven Planning and Scheduling (RDDPS), at ICAPS'24, 2024
Wydawca: http://fai.cs.uni-saarland.de/gros/papers/icaps24-RDDPS.pdf

Faster Robustness Verification by Exploiting Repeated Structure in Adversarial Examples

Autorzy: Lorenzo Cascioli, Laurens Devos, Jesse Davis
Opublikowane w: Proceedings of the ECAI Workshop on Verifying Learning AI Systems (VeriLearn'23), 2023

Faster Repeated Evasion Attacks in Tree Ensembles

Autorzy: Lorenzo Cascioli, Laurens Devos, Ondrej Kuzelka, Jesse Davis
Opublikowane w: Advances in Neural Information Processing Systems 37 (NeurIPS 2024), 2024
Wydawca: Curran Associates, Inc.; https://papers.nips.cc/paper_files/paper/2024

Conversational Goal-Conflict Explanations in Planning via Multi-Agent LLMs

Autorzy: Guilhem Fouilhé, Rebecca Eifler, Antonin Poché, Sylvie Thiébaux, Nicholas Asher
Opublikowane w: Proceedings of the AAAI25 Workshop on Planning in the Era of LLMs (LM4Plan@AAAI-25), 2025
Wydawca: Openreview

Detecting Evasion Attacks in Deployed Tree Ensembles

Autorzy: Laurens Devos, Lorenzo Perini, Wannes Meert, Jesse Davis
Opublikowane w: Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD'23), 2023, ISBN 978-3-031-43424-2
Wydawca: Springer
DOI: 10.1007/978-3-031-43424-2_8

An Efficient Structured Perceptron for NP-Hard Combinatorial Optimization Problems

Autorzy: Bastián Véjar, Gaël Aglin, Ali İrfan Mahmutoğulları, Siegfried Nijssen, Pierre Schaus, Tias Guns
Opublikowane w: Lecture Notes in Computer Science, Integration of Constraint Programming, Artificial Intelligence, and Operations Research, 2024
Wydawca: Springer Nature Switzerland
DOI: 10.1007/978-3-031-60599-4_17

Learning Heuristics for Numeric Planning

Autorzy: Dillon Z Chen and Sylvie Thiebaux
Opublikowane w: Proceedings of the 37th Annual Conference on Neural Information Processing Systems (NeurIPS-24), 2024
Wydawca: Curran Associates

On Picking Good Policies: Leveraging Action-Policy Testing in Policy Training

Autorzy: Jan Eisenhut, Daniel Fišer, Isabel Valera, Jörg Hoffmann
Opublikowane w: Proceedings of the 35th International Conference on Automated Planning and Scheduling (ICAPS'25), 2025
Wydawca: AAAI Press

Action Policy Testing with Heuristic-Based Bias Functions

Autorzy: Xandra Schuler, Jan Eisenhut, Daniel Höller, Daniel Fišer and Jörg Hoffmann
Opublikowane w: Proceedings of the ICAPS Workshop on Reliable Data-Driven Planning and Scheduling (RDDPS'23), 2023
Wydawca: none

Multi-class Robustness Verification for Tree Ensembles

Autorzy: Laurens Devos, Lorenzo Cascioli, Jesse Davis
Opublikowane w: Proceedings of the ECAI Workshop on Verifying Learning AI Systems Workshop (VeriLearn'23), 2023

Safety Verification of Tree-Ensemble Policies via Predicate Abstraction

Autorzy: Chaahat Jain, Lorenzo Cascioli, Laurens Devos, Marcel Vinzent, Marcel Steinmetz, Jesse Davis, Jörg Hoffmann
Opublikowane w: Proceedings of the ICAPS Workshop on Reliable Data-Driven Planning and Scheduling (RDDPS'24), 2024, ISBN 978-1-64368-548-9
Wydawca: None
DOI: 10.3233/FAIA240614

Neural Policy Safety Verification via Predicate Abstraction: CEGAR

Autorzy: Marcel Vinzent, Siddhant Sharma, Jörg Hoffmann
Opublikowane w: Proceedings of the 37th AAAI Conference on Artificial Intelligence (AAAI'23), 2023, ISSN 2374-3468
Wydawca: AAAI Press
DOI: 10.1609/aaai.v37i12.26772

Simplifying Step-wise Explanation Sequences

Autorzy: Ignace Bleukx, Jo Devriendt, Emilio Gamba, Bart Bogaerts, Tias Guns
Opublikowane w: Proceedings of the 29th International Conference on Principles and Practice of Constraint Programming (CP'23), 2023, ISSN 1868-8969
Wydawca: Leibniz-Zentrum für Informatik

Towards a Generic Representation of Combinatorial Problems for Learning-Based Approaches

Autorzy: Léo Boisvert, Hélène Verhaeghe, Quentin Cappart
Opublikowane w: Lecture Notes in Computer Science, Integration of Constraint Programming, Artificial Intelligence, and Operations Research, 2024
Wydawca: Springer Nature Switzerland
DOI: 10.1007/978-3-031-60597-0_7

Guided Bottom-Up Interactive Constraint Acquisition

Autorzy: Dimosthenis Tsouros, Senne Berden, Tias Guns
Opublikowane w: Proceedings of the 29th International Conference on Principles and Practice of Constraint Programming (CP'23), 2023, ISSN 1868-8969
Wydawca: Leibniz-Zentrum für Informatik
DOI: 10.48550/arXiv.2307.06126

Optimize Planning Heuristics to Rank, not to Estimate Cost-to-Goal

Autorzy: Leah Chrestien, Stefan Edelkamp, Antonin Komenda, Tomas Pevny
Opublikowane w: Proceedings of the 37th Annual Conference on Neural Information Processing Systems (NeurIPS'23), 2023
Wydawca: none

Blossom: an Anytime Algorithm for Computing Optimal Decision Trees

Autorzy: Emir Demirović, Emmanuel Hebrard, Louis Jean
Opublikowane w: Proceedings of the 40th International Conference on Machine Learning (ICML'23), 2023
Wydawca: PMLR

Computational Asymmetries in Robust Classification

Autorzy: Samuele Marro, Michele Lombardi.
Opublikowane w: Proceedings of the 40th International Conference on Machine Learning (ICML'23), 2023
Wydawca: ICML
DOI: 10.48550/arXiv.2306.14326

Policy-Specific Abstraction Predicate Selection in Neural Policy Safety Verification

Autorzy: Marcel Vinzent, Min Wu, Haoze Wu, Jörg Hoffmann
Opublikowane w: Proceedings of the ICAPS Workshop on Reliable Data-Driven Planning and Scheduling (RDDPS'23), 2023
Wydawca: none

Is This a Good Decision? Action Optimality Checking in Classical Planning

Autorzy: Jan Eisenhut, Daniel Fišer, Wheeler Ruml, Jörg Hoffmann
Opublikowane w: Proceedings of the 28th European Conference on Artificial Intelligence (ECAI'25), 2025
Wydawca: IOS Press

Explaining the Space of SSP Policies via Policy-Property Dependencies: Complexity, Algorithms, and Relation to Multi-Objective Planning

Autorzy: Marcel Steinmetz, Sylvie Thiébaux, Daniel Höller, and Florent Teichteil-Königsbuch
Opublikowane w: Proceedings of the 34th International Conference on Automated Planning and Scheduling (ICAPS'24), 2024
Wydawca: AAAI Press

Disjunctive Scheduling in Tempo

Autorzy: Emmanuel Hebrard
Opublikowane w: Proceedings of the 31st International Conference on Principles and Practice of Constraint Programming (CP-25)), 2025
Wydawca: Schloss Dagstuhl – Leibniz-Zentrum für Informatik
DOI: 10.4230/LIPICS.CP.2025.13

Policy Safety Testing in Non-Deterministic Planning: Fuzzing, Test Oracles, Fault Analysis

Autorzy: Chaahat Jain, Daniel Sherbakov, Marcel Vinzent, Marcel Steinmetz, Jesse Davis and Jörg Hoffmann
Opublikowane w: Proceedings of the 28th European Conference on Artificial Intelligence (ECAI'25), 2025
Wydawca: IOS Press

Learning to Learn in Interactive Constraint Acquisition

Autorzy: Dimosthenis Tsouros, Senne Berden, Tias Guns
Opublikowane w: Proceedings of the 38th AAAI Conference on Artificial Intelligence (AAAI'24), 2024, ISSN 2159-5399
Wydawca: AAAI Press, Washington, DC, USA
DOI: 10.1609/aaai.v38i8.28655

ReDeLEx: A Framework for Relational Deep Learning Exploration

Autorzy: Jakub Peleska, Gustav Sir
Opublikowane w: Lecture Notes in Artificial Intelligence, 2025
Wydawca: Springer

An Operator-Centric Trustable Decision-Making Tool for Planning Ground Logistic Operations of Beluga Aircraft

Autorzy: Rebecca Eifler, Nika Beriachvili, Arthur Bit-Monnot, Dillon Z. Chen, Jan Eisenhut, Joerg Hoffmann, Sylvie Thiébaux, and Florent Teichteil-Königsbuch
Opublikowane w: Proceedings of the 28th European Conference on Artificial Intelligence (ECAI-25), Demonstration Track, 2025
Wydawca: IOS Press

Exploiting Symmetries in MUS Computation

Autorzy: Ignace Bleukx, Hélène Verhaeghe, Bart Bogaerts, Tias Guns
Opublikowane w: Proceedings of the AAAI Conference on Artificial Intelligence, Numer 39, 2025, ISSN 2374-3468
Wydawca: Association for the Advancement of Artificial Intelligence (AAAI)
DOI: 10.1609/AAAI.V39I11.33209

Modeling and Explaining an Industrial Workforce Allocation and Scheduling Problem

Autorzy: Ignace Bleukx, Ryma Boumazouza, Tias Guns, Nadine Laage, Guillaume Poveda
Opublikowane w: Proceedings of the 31st International Conference on Principles and Practice of Constraint Programming (CP-25), 2025
Wydawca: Dagstuhl Publishing
DOI: 10.4230/LIPICS.CP.2025.6

Decision-Focused Learning to Predict Action Costs for Planning

Autorzy: Jayanta Mandi, Marco Foschini, Daniel Höller, Sylvie Thiebaux, Jörg Hoffmann, Tias Guns
Opublikowane w: Frontiers in Artificial Intelligence and Applications, ECAI 2024, 2024
Wydawca: IOS Press
DOI: 10.3233/FAIA240975

Learning Domain-Independent Heuristics for Grounded and Lifted Planning

Autorzy: Dillon Z. Chen, Sylvie Thiébaux, Felipe Trevizan
Opublikowane w: Proceedings of the 38th AAAI Conference on Artificial Intelligence (AAAI'24), 2024, ISSN 2159-5399
Wydawca: AAAI Press
DOI: 10.1609/aaai.v38i18.29986

New Fuzzing Biases for Action Policy Testing

Autorzy: Jan Eisenhut, Xandra Schuler, Daniel Fišer, Daniel Höller, Maria Christakis, Jörg Hoffmann
Opublikowane w: Proceedings of the 34th International Conference on Automated Planning and Scheduling (ICAPS'24), 2024
Wydawca: AAAI Press

Guiding GBFS through Learned Pairwise Rankings

Autorzy: Mingyu Hao, Felipe Trevizan, Sylvie Thiebaux, Patrick Ferber and Jörg Hoffmann
Opublikowane w: Proceedings of the 33rd International Joint Conference on Artificial Intelligence (IJCAI'24), 2024
Wydawca: IJCAI Organization
DOI: 10.24963/ijcai.2024/743

SMLE: Safe Machine Learning via Embedded Overapproximation

Autorzy: Matteo Francobaldi, Michele Lombardi
Opublikowane w: Proceedings of the AAAI Conference on Artificial Intelligence, Numer 39, 2025, ISSN 2374-3468
Wydawca: Association for the Advancement of Artificial Intelligence (AAAI)
DOI: 10.1609/AAAI.V39I26.34938

Understanding the Impact of Value Selection Heuristics in Scheduling Problems

Autorzy: Tim Luchterhand, Emmanuel Hebrard, Sylvie Thiébaux.
Opublikowane w: Proceedings of the 1st International Conference on Principles and Practice of Constraint Programming (CP-25), 2025
Wydawca: Schloss Dagstuhl – Leibniz-Zentrum für Informatik
DOI: 10.4230/LIPICS.CP.2025.27

Towards Feasible Higher-Dimensional Potential Heuristics

Autorzy: Daniel Fiser, Marcel Steinmetz
Opublikowane w: Proceedings of the 34th International Conference on Automated Planning and Scheduling (ICAPS'24), 2024
Wydawca: AAAI Press

Iterative Oversubscription Planning with Goal-Conflict Explanations: Scaling Up Through Policy-Guidance Approximation

Autorzy: Rebecca Eiflera, Daniel Fišer, Aleena Siji, Jörg Hoffmann
Opublikowane w: Proceedings of the 27th European Conference on Artificial Intelligence (ECAI'24), 2024
Wydawca: IOS Press

Effective Data Generation and Feature Selection in Learning for Planning

Autorzy: Mingyu Hao, Dillon Z. Chen, Felipe Trevizan, Sylvie Thiebaux
Opublikowane w: Proceedings of the 28th European Conference on Artificial Intelligence, 2025
Wydawca: IOS Press

Safety Verification of Tree-Ensemble Policies via Predicate Abstraction

Autorzy: Chaahat Jain, Lorenzo Cascioli, Laurens Devos, Marcel Vinzent, Marcel Steinmetz, Jesse Davis, Jörg Hoffmann
Opublikowane w: Proceedings of the 27th European Conference on Artificial Intelligence (ECAI'24), 2024
Wydawca: IOS Press

Automatic Metamorphic Test Oracles for Action-Policy Testing

Autorzy: Jan Eisenhut, Álvaro Torralba, Maria Christakis, Jörg Hoffmann
Opublikowane w: Proceedings of the 33rd International Conference on Automated Planning and Scheduling (ICAPS'23), 2023
Wydawca: AAAI Press
DOI: 10.1609/ICAPS.V33I1.27185

Learning Efficiency Meets Symmetry Breaking

Autorzy: Yingbin Bai, Sylvie Thiébaux, Felipe Trevizan
Opublikowane w: Proceedings of the 35th International Conference on Automated Planning and Scheduling, 2025
Wydawca: AAAI Press

Learning Precedences for Scheduling Problems with Graph Neural Networks

Autorzy: Hélène Verhaeghe, Quentin Cappart, Gilles Pesant, Claude-Guy Quimper
Opublikowane w: 30th International Conference on Principles and Practice of Constraint Programming (CP 2024), 2024
Wydawca: Leibniz International Proceedings in Informatics (LIPIcs)
DOI: 10.4230/LIPICS.CP.2024.30

Novelty Heuristics, Multi-Queue Search, and Portfolios for Numeric Planning

Autorzy: Dillon Z. Chen, Sylvie Thiébaux
Opublikowane w: Proceedings of the 17th International Symposium on Combinatorial Search (SOCS'24), 2024
Wydawca: AAAI Press
DOI: 10.48550/arXiv.2404.05235

Complexity of Weighted First-Order Model Counting in the Two-Variable Fragment with Counting Quantifiers: A Bound to Beat

Autorzy: Jan Tóth, Ondřej Kuželka
Opublikowane w: Proceedings of the TwentyFirst International Conference on Principles of Knowledge Representation and Reasoning, 2024, ISSN 2334-1033
Wydawca: International Joint Conferences on Artificial Intelligence Organization
DOI: 10.24963/KR.2024/64

Return to Tradition: Learning Reliable Heuristics with Classical Machine Learning

Autorzy: Dillon Z. Chen, Felipe Trevizan, Sylvie Thiébaux
Opublikowane w: Proceedings of the 34th International Conference on Automated Planning and Scheduling (ICAPS'24), 2024
Wydawca: AAAI Press
DOI: 10.1609/icaps.v34i1.31462

Assessing the Transparency and Explainability of AI Algorithms in Planning and Scheduling Tools: A Review of the Literature

Autorzy: Sofia Morandini, Federico Fraboni, Enzo Balatti, Aranka Hackmann, Hannah Brendel, Gabriele Puzzo, Lucia Volpi, Davide Giusino, Marco De Angelis, Luca Pietrantoni.
Opublikowane w: Proceedings of the 14th International Conference on Applied Human Factors and Ergonomics (AHFE'23), 2023
Wydawca: AHFE International
DOI: 10.54941/ahfe1004068

Decision-Focused Learning to Predict Action Costs for Planning

Autorzy: Jayanta Mandi, Marco Foschini, Daniel Höller, Sylvie Thiébaux, Jörg Hoffmann, Tias Guns
Opublikowane w: Proceedings of the 27th European Conference on Artificial Intelligence (ECAI'24), 2024
Wydawca: IOS Press

Explainability Insights to Cellular Simultaneous Recurrent Neural Networks for Classical Planning

Autorzy: Michaela Urbanovská, Antonín Komenda
Opublikowane w: Proceedings of the 16th International Conference on Agents and Artificial Intelligence (ICAART'24), Numer Volume 3, 2024, ISSN 2184-433X
Wydawca: SciTePress
DOI: 10.5220/0012375800003636

State Encodings for GNN-Based Lifted Planners

Autorzy: Rostislav Horčik, Gustav Šír, Vítězslav Šimek, Tomáš Pevný
Opublikowane w: Proceedings of the AAAI Conference on Artificial Intelligence, Numer 39, 2025, ISSN 2374-3468
Wydawca: Association for the Advancement of Artificial Intelligence (AAAI)
DOI: 10.1609/AAAI.V39I25.34853

Score Function Gradient Estimation to Widen the Applicability of Decision-Focused Learning

Autorzy: Mattia Silvestri, Senne Berden, Jayanta Mandi, Ali Mahmutogullari, Maxime Mulamba, Allegra De Filippo, Tias Guns, Michele Lombardi
Opublikowane w: Proceedings of the ICML Workshop Differentiable Almost Everything workshop, 2023
DOI: 10.48550/arXiv.2307.05213

Robustness Verification of Multi-Class Tree Ensembles

Autorzy: Laurens Devos, Lorenzo Cascioli, Jesse Davis
Opublikowane w: Proceedings of the 38th AAAI Conference on Artificial Intelligence (AAAI'24), 2024, ISSN 2159-5399
Wydawca: AAAI Press, Washington, DC, USA
DOI: 10.1609/aaai.v38i19.30093

Learning Generalised Policies for Numeric Planning

Autorzy: Ryan Xiao Wang, Sylvie Thiébaux
Opublikowane w: Proceedings of the 34th International Conference on Automated Planning and Scheduling (CAPS'24), 2024
Wydawca: AAAI Press

Expressiveness of Graph Neural Networks in Planning Domains

Autorzy: Rostislav Horcik, Gustav Sir
Opublikowane w: Proceedings of the 34th International Conference on Automated Planning and Scheduling (ICAPS'24), 2024
Wydawca: AAAI Press

On the Computational Complexity of Stackelberg Planning and Meta-Operator Verification

Autorzy: Gregor Behnke; Marcel Steinmetz
Opublikowane w: Proceedings of the 34th International Conference on Automated Planning and Scheduling (ICAPS'24), 2024
Wydawca: AAAI Press

Action Policy Explanations in Oversubscription Planning

Autorzy: Aleena Siji, Rebecca Eifler, Daniel Fišer, Jörg Hoffmann
Opublikowane w: Proceedings of the ICAPS Workshop on Human-Aware and Explainable Planning (HAXP'23), 2023
Wydawca: none

Fast and Robust Resource-Constrained Scheduling with Graph Neural Networks

Autorzy: Florent Teichteil-Koenigsbuch, Guillaume Poveda, Guillermo Gonzales de Garibay Barba, Tim Luchterhand, Sylvie Thiébaux
Opublikowane w: Proceedings of the 33rd International Conference on Automated Planning and Scheduling (ICAPS'23), 2023
Wydawca: AAAI
DOI: 10.1609/icaps.v33i1.27244

Formal Explanations of Neural Network Policies for Planning

Autorzy: Renee Selvey, Alban Grastien, Sylvie Thiébaux
Opublikowane w: Proceedings of the 32nd International Joint Conference on Artificial Intelligence (IJCAI'23), 2023
Wydawca: IJCAI.org
DOI: 10.24963/ijcai.2023/605

A Deep Learning Blueprint for Relational Databases

Autorzy: Lukáš Zahradník, Jan Neumann, Gustav Šír
Opublikowane w: Proceedings of the NeurIPS Workshop on Table Representation Learning (TRL'23), 2023
Wydawca: none

Decision-Focused Learning: Foundations, State of the Art, Benchmark and Future Opportunities

Autorzy: Jayanta Mandi, James Kotary, Senne Berden, Maxime Mulamba, Victor Bucarey, Tias Guns, Ferdinando Fioretto
Opublikowane w: Journal of Artificial Intelligence Research, Numer 80, 2024, ISSN 1076-9757
Wydawca: AI Access Foundation
DOI: 10.1613/jair.1.15320

Machine Learning

Autorzy: Davis, Jesse; Bransen, Lotte; Devos, Laurens; Jaspers, Arne; Meert, Wannes; Robberechts, Pieter; Van Haaren, Jan; Van Roy, Maaike
Opublikowane w: Machine Learning, 2024, ISSN 0885-6125
Wydawca: Springer Verlag
DOI: 10.1007/s10994-024-06585-0

User perspectives on AI explainability in aerospace manufacturing: a Card-Sorting study

Autorzy: Morandini, Sofia; Fraboni, Federico; Hall, Mark; Quintana-Amate, Santiago; Pietrantoni, Luca
Opublikowane w: Frontiers in Organizational Psychology, 2025, ISSN 2813-771X
Wydawca: Frontiers
DOI: 10.3389/FORGP.2025.1538438

Knowledge-Based Systems

Autorzy: Mattia Silvestri; Allegra De Filippo; Michele Lombardi; Michela Milano
Opublikowane w: Knowledge-Based Systems, 2024, ISSN 0950-7051
Wydawca: Elsevier
DOI: 10.1016/J.KNOSYS.2024.112383

The TOAD System for Totally Ordered HTN Planning

Autorzy: Daniel Höller
Opublikowane w: Journal of Artificial Intelligence Research, Numer 80, 2024, ISSN 1076-9757
Wydawca: AI Access Foundation
DOI: 10.1613/JAIR.1.14945

Cognition, Technology and Work

Autorzy: Morandini, Sofia; Fraboni, Federico; Hall, Mark; Quintana-Amate, Santiago; Pietrantoni, Luca
Opublikowane w: Cognition, Technology & Work, 2024, ISSN 1435-5558
Wydawca: Springer Nature
DOI: 10.1007/S10111-024-00785-3

A Markov Framework for Learning and Reasoning About Strategies in Professional Soccer

Autorzy: Maaike Van Roy, Peter Robberechts, Wen Chi Yang, Luc De Raedt, Jesse Davis
Opublikowane w: Journal Of Artificial Intelligence Research, Numer 77, 2023, ISSN 1076-9757
Wydawca: Morgan Kaufmann Publishers, Inc.
DOI: 10.1613/jair.1.13934

Complexity of minimum-size arc-inconsistency explanations

Autorzy: Bessiere, Christian; Carbonnel, Clément; Cooper, Martin C.; Hebrard, Emmanuel
Opublikowane w: Constraints, 2023, ISSN 1572-9354
Wydawca: Springer
DOI: 10.1007/S10601-023-09360-5

Methodology and evaluation in sports analytics: challenges, approaches, and lessons learned

Autorzy: Davis, Jesse; Bransen, Lotte; Devos, Laurens; Jaspers, Arne; Meert, Wannes; Robberechts, Pieter; Van Haaren, Jan; Van Roy, Maaike
Opublikowane w: Machine Learning, 2024, ISSN 1573-0565
Wydawca: Springer
DOI: 10.1007/S10994-024-06585-0

A rolling horizon heuristic approach for a multi-stage stochastic waste collection problem

Autorzy: Andrea Spinelli, Francesca Maggioni, Tânia Rodrigues Pereira Ramos, Ana Paula Barbosa-Póvoa, Daniele Vigo
Opublikowane w: European Journal of Operational Research, Numer 323, 2025, ISSN 0377-2217
Wydawca: Elsevier BV
DOI: 10.1016/J.EJOR.2024.11.041

An efficient heuristic for very large-scale vehicle routing problems with simultaneous pickup and delivery

Autorzy: Francesco Cavaliere, Luca Accorsi, Demetrio Laganà, Roberto Musmanno, Daniele Vigo
Opublikowane w: Transportation Research Part E: Logistics and Transportation Review, Numer Volume 186, June 2024, 2024, ISSN 1878-5794
Wydawca: Elsevier
DOI: 10.1016/j.tre.2024.103550

Trustworthiness of AI in Planning and Scheduling: The Experience of the TUPLES Project

Autorzy: Angelo Gordini, Matteo Pozzi, Michele Lombardi, Thomas Sergeys, Tias Guns, Andrea De Cesarei, Sofia Morandini, Sylvie Thiébaux
Opublikowane w: Lecture Notes in Computer Science, Decision Sciences, 2025
Wydawca: Springer Nature Switzerland
DOI: 10.1007/978-3-031-78241-1_30

Rezultaty

Publikacje

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