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Papers matching “decision problems” 60

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Online Knapsack Problems with Estimates
2025 arXiv (Cornell University) preprint Computer Science Optimization and Search Problems Open access

Jakub Balabán, Matthias Gehnen, Henri Lotze, Finn Seesemann, Moritz Stocker

0

citations
Deep Model-Based Reinforcement Learning for High-Dimensional Problems, a Survey
2020 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Aske Plaat, Walter A. Kosters, Mike Preuß

6

citations
From Guesswork to Game Plan: Exploring Problem-Solving-Strategies in a Machine Learning Game
2024 preprint Computer Science Teaching and Learning Programming Open access

Clemens Witt, Thiemo Leonhardt, Erik Marx, Nadine Bergner

0

citations
From Guesswork to Game Plan: Exploring Problem-Solving-Strategies in a Machine Learning Game
2024 preprint Computer Science Teaching and Learning Programming Open access

Clemens Witt, Thiemo Leonhardt, Erik Marx, Nadine Bergner

0

citations
Deciding Reachability and the Covering Problem with Diagnostics for Sound Acyclic Free-Choice Workflow Nets
2026 arXiv (Cornell University) preprint Computer Science Petri Nets in System Modeling Open access

Thomas M. Prinz, Christopher T. Schwanen, Wil M. P. van der Aalst

0

citations
Markov Decision Processes with Sure Parity and Multiple Reachability Objectives
2024 arXiv (Cornell University) preprint Computer Science Formal Methods in Verification Open access

Raphaël Berthon, Joost-Pieter Katoen, Tobias Winkler

0

citations
Requirements for Early Quantum Utility and Quantum Utility in the Capacitated Vehicle Routing Problem
2025 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Chinonso Onah, Kristel F. L. Michielsen

0

citations
The Complexity of Reachability in Parametric Markov Decision Processes
2020 arXiv (Cornell University) preprint Computer Science Formal Methods in Verification Open access

Sebastian Junges, Joost-Pieter Katoen, Guillermo A. Pérez, Tobias Winkler

10

citations
The Hypervolume Newton Method for Constrained Multi-objective Optimization Problems
2022 Preprints.org preprint Computer Science Advanced Multi-Objective Optimization Algorithms Open access

Hao Wang, Michael Emmerich, Andre H. Deutz, Víctor Adrián Sosa Hernández, Oliver Schütze

4

citations
Analysis of modular CMA-ES on strict box-constrained problems in the SBOX-COST benchmarking suite
2023 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Diederick Vermetten, Manuel López‐Ibáñez, Olaf Mersmann, Richard Allmendinger, Anna V. Kononova

0

citations
Evaluating the Evaluator: Problems with SemEval-2020 Task 1 for Lexical Semantic Change Detection
2026 arXiv (Cornell University) preprint Computer Science Natural Language Processing Techniques Open access

Bach Phan Tat, Kris Heylen, Dirk Geeraerts, Stefano De Pascale, Dirk Speelmana

0

citations
Deciding minimal distinguishing DFAs is NP-complete
2023 arXiv (Cornell University) preprint Computer Science semigroups and automata theory Open access

Jan Martens

0

citations
The Complexity of Stackelberg Pricing Games
2025 IT University Of Copenhagen (IT University of Copenhagen) preprint Computer Science Complexity and Algorithms in Graphs Open access

Christoph Grüne, Dorothee Henke, Eva Rotenberg, Lasse Wulf

0

citations
Fast Computation of Conditional Probabilities in MDPs and Markov Chain Families
2026 arXiv (Cornell University) preprint Computer Science Formal Methods in Verification Open access

Milan Češka, Sebastian Junges, Luko van der Maas, Filip Macák, Tim Quatmann

1

citations
Fast Computation of Conditional Probabilities in MDPs and Markov Chain Families
2026 arXiv (Cornell University) preprint Computer Science Formal Methods in Verification Open access

Milan Češka, Sebastian Junges, Luko van der Maas, Filip Macák, Tim Quatmann

0

citations
Delaying Decisions and Reservation Costs
2023 arXiv (Cornell University) preprint Computer Science Optimization and Search Problems Open access

Elisabet Burjons, Fabian Frei, Matthias Gehnen, Henri Lotze, Daniel Mock, Peter Rossmanith

0

citations
Online Simple Knapsack with Reservation Costs
2020 arXiv (Cornell University) preprint Computer Science Optimization and Search Problems Open access

Hans-Joachim Boeckenhauer, Elisabet Burjons, Juraj Hromkovic̆, Henri Lotze, Peter Rossmanith

2

citations
PhysAI: An architecture for situated physical judgement
2026 Zenodo (CERN European Organization for Nuclear Research) preprint Computer Science AI-based Problem Solving and Planning Open access

Ioannis Agrafiotis, Kosmas Alexopoulos, Annalisa Andaloro, Fabio Arnéz, Saurav Baidya, Jessa Bekker, +67 more

0

citations
Model-based Reinforcement Learning: A Survey
2020 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Thomas M. Moerland, Joost Broekens, Aske Plaat, Catholijn M. Jonker

82

citations
A Unifying Framework for Reinforcement Learning and Planning
2020 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Thomas M. Moerland, Joost Broekens, Aske Plaat, Catholijn M. Jonker

1

citations
Divide-Then-Aggregate: An Efficient Tool Learning Method via Parallel Tool Invocation
2025 arXiv (Cornell University) preprint Computer Science AI-based Problem Solving and Planning Open access

Zhaochun Ren, Shuaiqiang Wang, Lisong Yan, Dawei Yin

0

citations
Learning adaptive differential evolution algorithm from optimization experiences by policy gradient
2021 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Jianyong Sun, Xin Liu, Thomas Bäck, Zongben Xu

4

citations
Factorised Representations of Join Queries: Tight Bounds and a New Dichotomy
2025 arXiv (Cornell University) preprint Computer Science Advanced Graph Theory Research Open access

Christoph Berkholz, Harry Vinall-Smeeth

1

citations
Optimizing Causal Interventions in Hybrid Bayesian Networks
2024 Research Square preprint Computer Science Bayesian Modeling and Causal Inference Open access

Maarten Vonk, Diederick Vermetten, Jacob de Nobel, Sebastiaan Brand, Ninoslav Malekovic, Thomas Bäck, +2 more

0

citations
SMILE: Self-Explainable Multimodal Information Bottleneck for Medical Diagnosis
2026 arXiv (Cornell University) preprint Computer Science Explainable Artificial Intelligence (XAI) Open access

Yuqing Yang, Alexander Schmatz, Zhaozhao Ma, Changkyu Choi, Robert Jenssen, Shujian Yu

0

citations