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Papers matching “sequential decision problems” 18

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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
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
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
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
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
An AI-Driven Multi-Source Data Fusion Framework for Intelligent Network Optimization in 5G-A Systems
2026 International Journal of Artificial Intelligence Research article Computer Science Software-Defined Networks and 5G Open access

Elena Conti

0

citations

18 results