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Papers matching “decision problems” 177

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Inner approximations of coherent lower probabilities and their application to decision making problems
2023 Annals of Operations Research article Computer Science Bayesian Modeling and Causal Inference Open access

Enrique Miranda, Ignacio Montes, Andrés Presa

6

citations
Computational complexity of graph orientation, bilevel and robust optimization problems
2026 RWTH Publications (RWTH Aachen) dissertation Computer Science Advanced Graph Theory Research Open access

Komal Muluk

0

citations
Online Knapsack Problems with Estimates
2025 DROPS (Schloss Dagstuhl – Leibniz Center for Informatics) article Computer Science Optimization and Search Problems Open access

Jakub Balabán

0

citations
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
Semi online problems
2026 RWTH Publications (RWTH Aachen) dissertation Computer Science Optimization and Search Problems Open access

Matthias Gehnen

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
Strategy-Oriented Feedback for Fostering Systematic Problem-Solving in Machine Learning Education
2026 WiPSCE Conference on Primary and Secondary Computing Education Research (WiPSCE) conference-paper Computer Science Teaching and Learning Programming Open access

Clemens Witt, Thiemo Leonhardt, Erik Marx, Mareen Grillenberger

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
A survey of online knapsack problems
2025 Discrete Applied Mathematics article Computer Science Optimization and Search Problems Open access

Hans-Joachim Böckenhauer, Juraj Hromkovic̆, Dennis Komm, Peter Rossmanith, Moritz Stocker

3

citations
Detecting and approximating decision boundaries in low-dimensional spaces
2023 Numerical Algorithms article Computer Science Computational Geometry and Mesh Generation Open access

Matthias Grajewski, Andreas Kleefeld

2

citations
Identifying Correlations in Understanding and Solving Many-Objective Optimisation Problems
2023 Natural computing series book-chapter Computer Science Advanced Multi-Objective Optimization Algorithms Open access

António Gaspar‐Cunha, Andre H. Deutz, João A. Duro, Daniel C. Oara, Alma As-Aad Mohammad Rahat

2

citations
Counterfactual Strategies for Markov Decision Processes
2025 International Joint Conference on Artificial Intelligence conference-paper Computer Science Formal Methods in Verification Open access

Paul Kobialka, Lina Gerlach, Francesco Leofante, Erika Ábrahám, Silvia Lizeth Tapia Tarifa, Einar Broch Johnsen

0

citations
Multi-Objective Decision Support for Industrial Energy System Transformation: Exploring Near-Pareto-Optimal Design Alternatives
2026 Computers & Chemical Engineering article Computer Science Advanced Multi-Objective Optimization Algorithms Open access

Hendrik Schricker, Conrad Luka, Christiane Reinert, Dörthe Franzisca Hagedorn, Niklas V. von der Assen

1

citations
Visual Assistance in Development and Validation of Bayesian Networks for Clinical Decision Support
2022 IEEE Transactions on Visualization and Computer Graphics article Computer Science Bayesian Modeling and Causal Inference Open access

Juliane Müller, Seyedbehnam Beladi, Stephanie Vrede, Monique Meuschke, Peter Lucas, Johanna M. A. Pijnenborg, +1 more

7

citations
Life is Random, Time is Not: Markov Decision Processes with Window Objectives
2020 Logical Methods in Computer Science article Computer Science Formal Methods in Verification Open access

Thomas Brihaye, Florent Delgrange, Youssouf Oualhadj, Mickaël Randour

4

citations
A survey of graphical models for decision-making: integrating causality and game theory
2026 Artificial Intelligence Review article Computer Science Bayesian Modeling and Causal Inference Open access

Maarten Vonk, Mauricio Gonzalez-Soto, Anna V. Kononova

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
Optimal rates of convergence for entropy regularization in discounted Markov decision processes
2026 Information and Inference A Journal of the IMA article Computer Science Reinforcement Learning in Robotics Open access

Semih Çaycı

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
The Hypervolume Newton Method for Constrained Multi-Objective Optimization Problems
2023 Mathematical and Computational Applications article Computer Science Advanced Multi-Objective Optimization Algorithms Open access

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

3

citations
Analysis of modular CMA-ES on strict box-constrained problems in the SBOX-COST benchmarking suite
2023 conference-paper Computer Science Metaheuristic Optimization Algorithms Research Open access

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

3

citations