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Papers matching “sequential decision problems” 27

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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
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

1

citations
Applicability of multi-criteria decision analysis in the site selection procedure for high-level radioactive waste final disposal: robustness-oriented comparison of emplacement concepts
2023 Safety of Nuclear Waste Disposal article Decision Sciences Multi-Criteria Decision Making Open access

K. Diedrich, Klaus Fischer-Appelt, Frank Charlier

0

citations
Addressing Mixed-Integer Nonlinear Energy Management in Hybrid Vehicles: Comparing Genetic Algorithm and Sequential Quadratic Programming Within Model Predictive Control
2026 Energies article Engineering Electric and Hybrid Vehicle Technologies Open access

Ferris Herkenrath, Silas Koßler, Marco Günther, Stefan Pischinger

2

citations
Mehrstufige Entscheidungsprobleme
2021 Springer eBooks book-chapter Economics, Econometrics and Finance Capital Investment and Risk Analysis

Rüdiger von Nitzsch

1

citations
Mehrstufige Entscheidungsprobleme
2024 Springer eBooks book-chapter Economics, Econometrics and Finance Capital Investment and Risk Analysis

Rüdiger von Nitzsch

0

citations
An Oracle-Guided Approach to Constrained Policy Synthesis Under Uncertainty
2025 Journal of Artificial Intelligence Research article Computer Science Formal Methods in Verification Open access

Roman Andriushchenko, Milan Češka, Filip Macák, Sebastian Junges, Joost-Pieter Katoen

5

citations
Model-based Reinforcement Learning: A Survey
2023 Foundations and Trends® in Machine Learning article Computer Science Reinforcement Learning in Robotics Open access cited by 2 patents

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

530

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
2022 Frontiers in Artificial Intelligence article Computer Science Reinforcement Learning in Robotics Open access cited by 1 patent

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

16

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
High-accuracy model-based reinforcement learning, a survey
2023 Artificial Intelligence Review article Computer Science Reinforcement Learning in Robotics Open access

Aske Plaat, Walter A. Kosters, Mike Preuß

46

citations
Hierarchical Reinforcement Learning
2022 Springer eBooks book-chapter Computer Science Reinforcement Learning in Robotics cited by 1 patent

Aske Plaat

1

citations
Multi-stage Stochastic Programming Methods for Adaptive Disaster Relief Logistics Planning
2022 arXiv (Cornell University) preprint Business, Management and Accounting Facility Location and Emergency Management Open access

Murwan Siddig, Yongjia Song

2

citations
Convex Optimization for Parameter Synthesis in MDPs
2021 IEEE Transactions on Automatic Control article Computer Science Formal Methods in Verification Open access

Murat Cubuktepe, Nils Jansen, Sebastian Junges, Joost-Pieter Katoen, Ufuk Topcu

21

citations
High-Accuracy Model-Based Reinforcement Learning, a Survey
2021 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Aske Plaat, Walter A. Kosters, Mike Preuß

5

citations
Continuous Episodic Control
2023 IEEE Conference on Games (CoG) conference-paper Computer Science Reinforcement Learning in Robotics

Yang Zhao, Thomas M. Moerland, Mike Preuß, Aske Plaat

3

citations
Reinforcement Learning for Sustainable Energy: A Survey
2024 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Koen Ponse, Felix Kleuker, Álvaro Serra-Gómez, Aske Plaat, Thomas M. Moerland

2

citations
Continuous Episodic Control
2022 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Yang Zhao, Thomas M. Moerland, Mike Preuß, Aske Plaat

0

citations
Bilevel optimization for joint scheduling of production and energy systems
2022 Optimization and Engineering article Engineering Process Optimization and Integration Open access

Ludger Leenders, Dörthe Franzisca Hagedorn, Hatim Djelassi, André Bardow, Alexander Mitsos

9

citations
A two-stage stochastic programming model for bike-sharing systems with rebalancing
2024 EURO Journal on Transportation and Logistics article Social Sciences Urban Transport and Accessibility Open access

Rossana Cavagnini, Francesca Maggioni, Luca Bertazzi, Mike Hewitt

9

citations
Token-Level Credit Assignment Optimization for Generative Document Retrieval
2026 arXiv (Cornell University) preprint Computer Science Information Retrieval and Search Behavior Open access

Xinpeng Zhao, Ran Chen, Xinyu Ma, Daiting Shi, Pengjie Ren, Zhumin Chen, +2 more

0

citations
Active Learning Using Aggregated Acquisition Functions: Accuracy and Sustainability Analysis
2026 IEEE Journal of Selected Topics in Signal Processing article Computer Science Machine Learning and Algorithms Open access

Cédric Jung, Shirin Salehi, Anke Schmeink

0

citations
Security-constrained optimization framework for integrated active and reactive power optimization of transmission grid operation
2025 IET conference proceedings. conference-paper Engineering Electric Power System Optimization

Marten Simon Thams, Christian Gerdon, Albert Moser

0

citations
Improving Open-world Continual Learning under the Constraints of Scarce Labeled Data
2025 ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) conference-paper Computer Science Domain Adaptation and Few-Shot Learning Open access

Yujie Li, Xiangkun Wang, Xin Yang, Marcello Bonsangue, Junbo Zhang, Tianrui Li

1

citations