Trustworthy Planning and Scheduling with Learning and Explanations

Projektinformationen

TUPLES

ID Finanzhilfevereinbarung: 101070149

DOI

10.3030/101070149

Projekt abgeschlossen

EK-Unterschriftsdatum 12 Juni 2022

Startdatum 1 Oktober 2022

Enddatum 30 September 2025

Finanziert unter

• Digital, Industry and Space

Gesamtkosten

€ 4 200 886,25

EU-Beitrag

€ 4 200 886,25

Koordiniert durch

LA COMMUNAUTE D UNIVERSITES ET ETABLISSEMENTS DE TOULOUSE
France

CORDIS bietet Links zu öffentlichen Ergebnissen und Veröffentlichungen von HORIZONT-Projekten.

Links zu Ergebnissen und Veröffentlichungen von RP7-Projekten sowie Links zu einigen Typen spezifischer Ergebnisse wie Datensätzen und Software werden dynamisch von OpenAIRE abgerufen.

Leistungen

Other (13)

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).

Software for interactive and approximate explanations

Software for interactive and approximate explanations (M30, Software).

Expl. ML models and systems of constraints

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

Scalable search methods integrating learning

Scalable search methods integrating policy/heuristic learning and improvement (M24, Software+Report)

Fram. for robustness verification of policies

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

Expl. policies in learning-based S&P

Explanations for action policies in learning-based scheduling and planning (M30, Report+Software).

Fram. for testing & verif. of policy behavior

Framework for testing and verification of policy-behavior (M24, Software).

Expl. policies in non-learning based P&S

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

GitHub/TUPLES lab - solving algorithms

Use cases' solving algorithms hosted on GitHub/TUPLES lab (M36, Software).

POC of applicability of LRNNs in P&S

POC of applicability of LRNNs in planning and scheudling (M24, Software+Report)

Methods for integration of LRNNs into P&S

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

TUPLES self-assessment tool - beta

Development and beta-release of the TUPLES self-assessment tool (M24, Software).

Documents, reports (11)

Environmental impact evaluation

Report on environmental impact evaluation (M36, Report).

Meth. for robustness verification of policies

Methods for robustness verification of policy-decisions (M24, Report).

Meth. for trustworthy P&S

Report on methodologies and guidelines for trustworthy planning and scheduling (M36, Report).

Interactive explanations and approximate explanations

Interactive explanations and approximate explanations (M24, Report).

Integrated online/offline (re-)scheduling

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

Robust constraint acquisition methods

Design and analysis of robust constraint acquisition methods, and neural network architectures for capturing the structure of planning and scheduling models (M24, Report).

Test for solvability by a NN architecture

Procedure testing wether a task is solvable by a neural network architecture (M24, report)

Final report on dissemination and communication activities

Final report on dissemination and communication activities (M36, Report).

Robust integration of learning and solving

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

Meth. for testing & verif. of policy behavior

Methods for testing and verification of policy-behavior (M36, Report).

Meth. learning with robustness guarantees

Methods for policy learning with decision-robustness guarantees (M24, Report).

Websites, patent fillings, videos etc. (1)

Competition results

Competition results posted on the website (M31, Website).

Demonstrators, pilots, prototypes (1)

Use case demonstrators hosted on GitHub

Use case demonstrators hosted on GitHub (M36, Software).

Veröffentlichungen

Conference proceedings (56)

Safe Reinforcement Learning Through Regret and State Restorations in Evaluation Stages

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

Faster Robustness Verification by Exploiting Repeated Structure in Adversarial Examples

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

Faster Repeated Evasion Attacks in Tree Ensembles

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

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

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

Detecting Evasion Attacks in Deployed Tree Ensembles

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

An Efficient Structured Perceptron for NP-Hard Combinatorial Optimization Problems

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

Learning Heuristics for Numeric Planning

Autoren: Dillon Z Chen and Sylvie Thiebaux
Veröffentlicht in: Proceedings of the 37th Annual Conference on Neural Information Processing Systems (NeurIPS-24), 2024
Herausgeber: Curran Associates

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

Autoren: Jan Eisenhut, Daniel Fišer, Isabel Valera, Jörg Hoffmann
Veröffentlicht in: Proceedings of the 35th International Conference on Automated Planning and Scheduling (ICAPS'25), 2025
Herausgeber: AAAI Press

Action Policy Testing with Heuristic-Based Bias Functions

Autoren: Xandra Schuler, Jan Eisenhut, Daniel Höller, Daniel Fišer and Jörg Hoffmann
Veröffentlicht in: Proceedings of the ICAPS Workshop on Reliable Data-Driven Planning and Scheduling (RDDPS'23), 2023
Herausgeber: none

Multi-class Robustness Verification for Tree Ensembles

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

Safety Verification of Tree-Ensemble Policies via Predicate Abstraction

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

Neural Policy Safety Verification via Predicate Abstraction: CEGAR

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

Simplifying Step-wise Explanation Sequences

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

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

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

Guided Bottom-Up Interactive Constraint Acquisition

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

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

Autoren: Leah Chrestien, Stefan Edelkamp, Antonin Komenda, Tomas Pevny
Veröffentlicht in: Proceedings of the 37th Annual Conference on Neural Information Processing Systems (NeurIPS'23), 2023
Herausgeber: none

Blossom: an Anytime Algorithm for Computing Optimal Decision Trees

Autoren: Emir Demirović, Emmanuel Hebrard, Louis Jean
Veröffentlicht in: Proceedings of the 40th International Conference on Machine Learning (ICML'23), 2023
Herausgeber: PMLR

Computational Asymmetries in Robust Classification

Autoren: Samuele Marro, Michele Lombardi.
Veröffentlicht in: Proceedings of the 40th International Conference on Machine Learning (ICML'23), 2023
Herausgeber: ICML
DOI: 10.48550/arXiv.2306.14326

Policy-Specific Abstraction Predicate Selection in Neural Policy Safety Verification

Autoren: Marcel Vinzent, Min Wu, Haoze Wu, Jörg Hoffmann
Veröffentlicht in: Proceedings of the ICAPS Workshop on Reliable Data-Driven Planning and Scheduling (RDDPS'23), 2023
Herausgeber: none

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

Autoren: Jan Eisenhut, Daniel Fišer, Wheeler Ruml, Jörg Hoffmann
Veröffentlicht in: Proceedings of the 28th European Conference on Artificial Intelligence (ECAI'25), 2025
Herausgeber: IOS Press

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

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

Disjunctive Scheduling in Tempo

Autoren: Emmanuel Hebrard
Veröffentlicht in: Proceedings of the 31st International Conference on Principles and Practice of Constraint Programming (CP-25)), 2025
Herausgeber: 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

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

Learning to Learn in Interactive Constraint Acquisition

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

ReDeLEx: A Framework for Relational Deep Learning Exploration

Autoren: Jakub Peleska, Gustav Sir
Veröffentlicht in: Lecture Notes in Artificial Intelligence, 2025
Herausgeber: Springer

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

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

Exploiting Symmetries in MUS Computation

Autoren: Ignace Bleukx, Hélène Verhaeghe, Bart Bogaerts, Tias Guns
Veröffentlicht in: Proceedings of the AAAI Conference on Artificial Intelligence, Ausgabe 39, 2025, ISSN 2374-3468
Herausgeber: Association for the Advancement of Artificial Intelligence (AAAI)
DOI: 10.1609/AAAI.V39I11.33209

Modeling and Explaining an Industrial Workforce Allocation and Scheduling Problem

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

Learning Domain-Independent Heuristics for Grounded and Lifted Planning

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

New Fuzzing Biases for Action Policy Testing

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

Guiding GBFS through Learned Pairwise Rankings

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

SMLE: Safe Machine Learning via Embedded Overapproximation

Autoren: Matteo Francobaldi, Michele Lombardi
Veröffentlicht in: Proceedings of the AAAI Conference on Artificial Intelligence, Ausgabe 39, 2025, ISSN 2374-3468
Herausgeber: Association for the Advancement of Artificial Intelligence (AAAI)
DOI: 10.1609/AAAI.V39I26.34938

Understanding the Impact of Value Selection Heuristics in Scheduling Problems

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

Towards Feasible Higher-Dimensional Potential Heuristics

Autoren: Daniel Fiser, Marcel Steinmetz
Veröffentlicht in: Proceedings of the 34th International Conference on Automated Planning and Scheduling (ICAPS'24), 2024
Herausgeber: AAAI Press

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

Autoren: Rebecca Eiflera, Daniel Fišer, Aleena Siji, Jörg Hoffmann
Veröffentlicht in: Proceedings of the 27th European Conference on Artificial Intelligence (ECAI'24), 2024
Herausgeber: IOS Press

Effective Data Generation and Feature Selection in Learning for Planning

Autoren: Mingyu Hao, Dillon Z. Chen, Felipe Trevizan, Sylvie Thiebaux
Veröffentlicht in: Proceedings of the 28th European Conference on Artificial Intelligence, 2025
Herausgeber: IOS Press

Safety Verification of Tree-Ensemble Policies via Predicate Abstraction

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

Automatic Metamorphic Test Oracles for Action-Policy Testing

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

Learning Efficiency Meets Symmetry Breaking

Autoren: Yingbin Bai, Sylvie Thiébaux, Felipe Trevizan
Veröffentlicht in: Proceedings of the 35th International Conference on Automated Planning and Scheduling, 2025
Herausgeber: AAAI Press

Learning Precedences for Scheduling Problems with Graph Neural Networks

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

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

Autoren: Dillon Z. Chen, Sylvie Thiébaux
Veröffentlicht in: Proceedings of the 17th International Symposium on Combinatorial Search (SOCS'24), 2024
Herausgeber: 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

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

Return to Tradition: Learning Reliable Heuristics with Classical Machine Learning

Autoren: Dillon Z. Chen, Felipe Trevizan, Sylvie Thiébaux
Veröffentlicht in: Proceedings of the 34th International Conference on Automated Planning and Scheduling (ICAPS'24), 2024
Herausgeber: 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

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

Decision-Focused Learning to Predict Action Costs for Planning

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

Explainability Insights to Cellular Simultaneous Recurrent Neural Networks for Classical Planning

Autoren: Michaela Urbanovská, Antonín Komenda
Veröffentlicht in: Proceedings of the 16th International Conference on Agents and Artificial Intelligence (ICAART'24), Ausgabe Volume 3, 2024, ISSN 2184-433X
Herausgeber: SciTePress
DOI: 10.5220/0012375800003636

State Encodings for GNN-Based Lifted Planners

Autoren: Rostislav Horčik, Gustav Šír, Vítězslav Šimek, Tomáš Pevný
Veröffentlicht in: Proceedings of the AAAI Conference on Artificial Intelligence, Ausgabe 39, 2025, ISSN 2374-3468
Herausgeber: 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

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

Robustness Verification of Multi-Class Tree Ensembles

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

Learning Generalised Policies for Numeric Planning

Autoren: Ryan Xiao Wang, Sylvie Thiébaux
Veröffentlicht in: Proceedings of the 34th International Conference on Automated Planning and Scheduling (CAPS'24), 2024
Herausgeber: AAAI Press

Expressiveness of Graph Neural Networks in Planning Domains

Autoren: Rostislav Horcik, Gustav Sir
Veröffentlicht in: Proceedings of the 34th International Conference on Automated Planning and Scheduling (ICAPS'24), 2024
Herausgeber: AAAI Press

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

Autoren: Gregor Behnke; Marcel Steinmetz
Veröffentlicht in: Proceedings of the 34th International Conference on Automated Planning and Scheduling (ICAPS'24), 2024
Herausgeber: AAAI Press

Action Policy Explanations in Oversubscription Planning

Autoren: Aleena Siji, Rebecca Eifler, Daniel Fišer, Jörg Hoffmann
Veröffentlicht in: Proceedings of the ICAPS Workshop on Human-Aware and Explainable Planning (HAXP'23), 2023
Herausgeber: none

Fast and Robust Resource-Constrained Scheduling with Graph Neural Networks

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

Formal Explanations of Neural Network Policies for Planning

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

A Deep Learning Blueprint for Relational Databases

Autoren: Lukáš Zahradník, Jan Neumann, Gustav Šír
Veröffentlicht in: Proceedings of the NeurIPS Workshop on Table Representation Learning (TRL'23), 2023
Herausgeber: none

Peer reviewed articles (11)

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

Autoren: Jayanta Mandi, James Kotary, Senne Berden, Maxime Mulamba, Victor Bucarey, Tias Guns, Ferdinando Fioretto
Veröffentlicht in: Journal of Artificial Intelligence Research, Ausgabe 80, 2024, ISSN 1076-9757
Herausgeber: AI Access Foundation
DOI: 10.1613/jair.1.15320

Machine Learning

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

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

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

Knowledge-Based Systems

Autoren: Mattia Silvestri; Allegra De Filippo; Michele Lombardi; Michela Milano
Veröffentlicht in: Knowledge-Based Systems, 2024, ISSN 0950-7051
Herausgeber: Elsevier
DOI: 10.1016/J.KNOSYS.2024.112383

The TOAD System for Totally Ordered HTN Planning

Autoren: Daniel Höller
Veröffentlicht in: Journal of Artificial Intelligence Research, Ausgabe 80, 2024, ISSN 1076-9757
Herausgeber: AI Access Foundation
DOI: 10.1613/JAIR.1.14945

Cognition, Technology and Work

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

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

Autoren: Maaike Van Roy, Peter Robberechts, Wen Chi Yang, Luc De Raedt, Jesse Davis
Veröffentlicht in: Journal Of Artificial Intelligence Research, Ausgabe 77, 2023, ISSN 1076-9757
Herausgeber: Morgan Kaufmann Publishers, Inc.
DOI: 10.1613/jair.1.13934

Complexity of minimum-size arc-inconsistency explanations

Autoren: Bessiere, Christian; Carbonnel, Clément; Cooper, Martin C.; Hebrard, Emmanuel
Veröffentlicht in: Constraints, 2023, ISSN 1572-9354
Herausgeber: Springer
DOI: 10.1007/S10601-023-09360-5

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

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

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

Autoren: Andrea Spinelli, Francesca Maggioni, Tânia Rodrigues Pereira Ramos, Ana Paula Barbosa-Póvoa, Daniele Vigo
Veröffentlicht in: European Journal of Operational Research, Ausgabe 323, 2025, ISSN 0377-2217
Herausgeber: 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

Autoren: Francesco Cavaliere, Luca Accorsi, Demetrio Laganà, Roberto Musmanno, Daniele Vigo
Veröffentlicht in: Transportation Research Part E: Logistics and Transportation Review, Ausgabe Volume 186, June 2024, 2024, ISSN 1878-5794
Herausgeber: Elsevier
DOI: 10.1016/j.tre.2024.103550

Book chapters (1)

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

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