Trustworthy Planning and Scheduling with Learning and Explanations

Deliverables

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).

Publications

Safe Reinforcement Learning Through Regret and State Restorations in Evaluation Stages

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

Faster Robustness Verification by Exploiting Repeated Structure in Adversarial Examples

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

Faster Repeated Evasion Attacks in Tree Ensembles

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

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

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

Detecting Evasion Attacks in Deployed Tree Ensembles

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

An Efficient Structured Perceptron for NP-Hard Combinatorial Optimization Problems

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

Learning Heuristics for Numeric Planning

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

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

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

Action Policy Testing with Heuristic-Based Bias Functions

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

Multi-class Robustness Verification for Tree Ensembles

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

Safety Verification of Tree-Ensemble Policies via Predicate Abstraction

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

Neural Policy Safety Verification via Predicate Abstraction: CEGAR

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

Simplifying Step-wise Explanation Sequences

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

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

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

Guided Bottom-Up Interactive Constraint Acquisition

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

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

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

Blossom: an Anytime Algorithm for Computing Optimal Decision Trees

Author(s): Emir Demirović, Emmanuel Hebrard, Louis Jean
Published in: Proceedings of the 40th International Conference on Machine Learning (ICML'23), 2023
Publisher: PMLR

Computational Asymmetries in Robust Classification

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

Policy-Specific Abstraction Predicate Selection in Neural Policy Safety Verification

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

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

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

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

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

Disjunctive Scheduling in Tempo

Author(s): Emmanuel Hebrard
Published in: Proceedings of the 31st International Conference on Principles and Practice of Constraint Programming (CP-25)), 2025
Publisher: 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

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

Learning to Learn in Interactive Constraint Acquisition

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

ReDeLEx: A Framework for Relational Deep Learning Exploration

Author(s): Jakub Peleska, Gustav Sir
Published in: Lecture Notes in Artificial Intelligence, 2025
Publisher: Springer

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

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

Exploiting Symmetries in MUS Computation

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

Modeling and Explaining an Industrial Workforce Allocation and Scheduling Problem

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

Decision-Focused Learning to Predict Action Costs for Planning

Author(s): Jayanta Mandi, Marco Foschini, Daniel Höller, Sylvie Thiebaux, Jörg Hoffmann, Tias Guns
Published in: Frontiers in Artificial Intelligence and Applications, ECAI 2024, 2024
Publisher: IOS Press
DOI: 10.3233/FAIA240975

Learning Domain-Independent Heuristics for Grounded and Lifted Planning

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

New Fuzzing Biases for Action Policy Testing

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

Guiding GBFS through Learned Pairwise Rankings

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

SMLE: Safe Machine Learning via Embedded Overapproximation

Author(s): Matteo Francobaldi, Michele Lombardi
Published in: Proceedings of the AAAI Conference on Artificial Intelligence, Issue 39, 2025, ISSN 2374-3468
Publisher: Association for the Advancement of Artificial Intelligence (AAAI)
DOI: 10.1609/AAAI.V39I26.34938

Understanding the Impact of Value Selection Heuristics in Scheduling Problems

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

Towards Feasible Higher-Dimensional Potential Heuristics

Author(s): Daniel Fiser, Marcel Steinmetz
Published in: Proceedings of the 34th International Conference on Automated Planning and Scheduling (ICAPS'24), 2024
Publisher: AAAI Press

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

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

Effective Data Generation and Feature Selection in Learning for Planning

Author(s): Mingyu Hao, Dillon Z. Chen, Felipe Trevizan, Sylvie Thiebaux
Published in: Proceedings of the 28th European Conference on Artificial Intelligence, 2025
Publisher: IOS Press

Safety Verification of Tree-Ensemble Policies via Predicate Abstraction

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

Automatic Metamorphic Test Oracles for Action-Policy Testing

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

Learning Efficiency Meets Symmetry Breaking

Author(s): Yingbin Bai, Sylvie Thiébaux, Felipe Trevizan
Published in: Proceedings of the 35th International Conference on Automated Planning and Scheduling, 2025
Publisher: AAAI Press

Learning Precedences for Scheduling Problems with Graph Neural Networks

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

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

Author(s): Dillon Z. Chen, Sylvie Thiébaux
Published in: Proceedings of the 17th International Symposium on Combinatorial Search (SOCS'24), 2024
Publisher: 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

Author(s): Jan Tóth, Ondřej Kuželka
Published in: Proceedings of the TwentyFirst International Conference on Principles of Knowledge Representation and Reasoning, 2024, ISSN 2334-1033
Publisher: International Joint Conferences on Artificial Intelligence Organization
DOI: 10.24963/KR.2024/64

Return to Tradition: Learning Reliable Heuristics with Classical Machine Learning

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

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

Decision-Focused Learning to Predict Action Costs for Planning

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

Explainability Insights to Cellular Simultaneous Recurrent Neural Networks for Classical Planning

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

State Encodings for GNN-Based Lifted Planners

Author(s): Rostislav Horčik, Gustav Šír, Vítězslav Šimek, Tomáš Pevný
Published in: Proceedings of the AAAI Conference on Artificial Intelligence, Issue 39, 2025, ISSN 2374-3468
Publisher: 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

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

Robustness Verification of Multi-Class Tree Ensembles

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

Learning Generalised Policies for Numeric Planning

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

Expressiveness of Graph Neural Networks in Planning Domains

Author(s): Rostislav Horcik, Gustav Sir
Published in: Proceedings of the 34th International Conference on Automated Planning and Scheduling (ICAPS'24), 2024
Publisher: AAAI Press

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

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

Action Policy Explanations in Oversubscription Planning

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

Fast and Robust Resource-Constrained Scheduling with Graph Neural Networks

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

Formal Explanations of Neural Network Policies for Planning

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

A Deep Learning Blueprint for Relational Databases

Author(s): Lukáš Zahradník, Jan Neumann, Gustav Šír
Published in: Proceedings of the NeurIPS Workshop on Table Representation Learning (TRL'23), 2023
Publisher: none

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

Author(s): Jayanta Mandi, James Kotary, Senne Berden, Maxime Mulamba, Victor Bucarey, Tias Guns, Ferdinando Fioretto
Published in: Journal of Artificial Intelligence Research, Issue 80, 2024, ISSN 1076-9757
Publisher: AI Access Foundation
DOI: 10.1613/jair.1.15320

Machine Learning

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

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

Author(s): Morandini, Sofia; Fraboni, Federico; Hall, Mark; Quintana-Amate, Santiago; Pietrantoni, Luca
Published in: Frontiers in Organizational Psychology, 2025, ISSN 2813-771X
Publisher: Frontiers
DOI: 10.3389/FORGP.2025.1538438

Knowledge-Based Systems

Author(s): Mattia Silvestri; Allegra De Filippo; Michele Lombardi; Michela Milano
Published in: Knowledge-Based Systems, 2024, ISSN 0950-7051
Publisher: Elsevier
DOI: 10.1016/J.KNOSYS.2024.112383

The TOAD System for Totally Ordered HTN Planning

Author(s): Daniel Höller
Published in: Journal of Artificial Intelligence Research, Issue 80, 2024, ISSN 1076-9757
Publisher: AI Access Foundation
DOI: 10.1613/JAIR.1.14945

Cognition, Technology and Work

Author(s): Morandini, Sofia; Fraboni, Federico; Hall, Mark; Quintana-Amate, Santiago; Pietrantoni, Luca
Published in: Cognition, Technology & Work, 2024, ISSN 1435-5558
Publisher: Springer Nature
DOI: 10.1007/S10111-024-00785-3

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

Author(s): Maaike Van Roy, Peter Robberechts, Wen Chi Yang, Luc De Raedt, Jesse Davis
Published in: Journal Of Artificial Intelligence Research, Issue 77, 2023, ISSN 1076-9757
Publisher: Morgan Kaufmann Publishers, Inc.
DOI: 10.1613/jair.1.13934

Complexity of minimum-size arc-inconsistency explanations

Author(s): Bessiere, Christian; Carbonnel, Clément; Cooper, Martin C.; Hebrard, Emmanuel
Published in: Constraints, 2023, ISSN 1572-9354
Publisher: Springer
DOI: 10.1007/S10601-023-09360-5

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

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

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

Author(s): Andrea Spinelli, Francesca Maggioni, Tânia Rodrigues Pereira Ramos, Ana Paula Barbosa-Póvoa, Daniele Vigo
Published in: European Journal of Operational Research, Issue 323, 2025, ISSN 0377-2217
Publisher: 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

Author(s): Francesco Cavaliere, Luca Accorsi, Demetrio Laganà, Roberto Musmanno, Daniele Vigo
Published in: Transportation Research Part E: Logistics and Transportation Review, Issue Volume 186, June 2024, 2024, ISSN 1878-5794
Publisher: Elsevier
DOI: 10.1016/j.tre.2024.103550

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

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

Deliverables

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