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

Adversarial Example Detection in Deployed Tree Ensembles

Autorzy: Laurens Devos, Lorenzo Perini, Wannes Meert, Jesse Davis
Opublikowane w: Machine Learning and Knowledge Discovery in Databases; 2023, 2023
Wydawca: Springer
DOI: 10.48550/arXiv.2206.13083

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), 2023
Wydawca: none

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
Wydawca: None

Neural Policy Safety Verification via Predicate Abstraction: CEGAR

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

Simplifying Step-wise Explanation Sequences

Autorzy: Bleukx, Ignace; Devriendt, Jo; Gamba, Emilio; Bogaerts, Bart; Guns, Tias
Opublikowane w: Leibniz International Proceedings in Informatics; 2023, 2023, ISSN 1868-8969
Wydawca: Leibniz International Proceedings in Informatics; 2023

Guided Bottom-Up Interactive Constraint Acquisition

Autorzy: Dimosthenis Tsouros, Senne Berden, Tias Guns
Opublikowane w: Leibniz International Proceedings in Informatics; 2023, 2023, ISSN 1868-8969
Wydawca: Schloss Dagstuhl -- Leibniz-Zentrum fuer 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), 2023
Wydawca: PMLR

Computational Asymmetries in Robust Classification

Autorzy: Samuele Marro, Michele Lombardi.
Opublikowane w: 40th International Conference on Machine Learning (ICML 2023), 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), 2023
Wydawca: none

Learning to Learn in Interactive Constraint Acquisition

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

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

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

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

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), 2023
Wydawca: AAAI Press
DOI: 10.1609/icaps.v33i1.27185

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

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: 10.48550/arXiv.2403.16508

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: AHFE (2023) International Conference, 2023
Wydawca: AHFE International
DOI: 10.54941/ahfe1004068

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

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: Differentiable Almost Everything workshop @ICML 2023, 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 AAAI Conference on Artificial Intelligence, Numer 38, 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

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

Autorzy: Gregor Behnke; Marcel Steinmetz
Opublikowane w: 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), 2023
Wydawca: none

Fast and robust resource - constrained scheduling with graph Neural Networks

Autorzy: Teichteil-Koenigsbuch, F., Poveda,g., Gonzales de Garibay Barba, G., Luchterhand, T. and Thiébaux, S.
Opublikowane w: Proceedings of the 33rd International Conference on Automated Planning and Scheduling (ICAPS), 2023
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 International Joint Conference on Artificial Intelligence (IJCAI), 2023, 2023
Wydawca: IJCAI.org
DOI: 10.24963/ijcai.2023/605

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

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

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