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Papers matching “observability” 655

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Preference-Based Reward Learning under Partial Observability with Inexact Dynamics
2026 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Reza Zolnouri, Semih Çaycı

0

citations
Gradient-Descent for Randomized Controllers under Partial Observability
2021 arXiv (Cornell University) preprint Computer Science Formal Methods in Verification Open access

Linus Heck, Jip Spel, Sebastian Junges, Joshua Moerman, Joost-Pieter Katoen

0

citations
Gradient-Descent for Randomized Controllers Under Partial Observability
2022 Lecture notes in computer science conference-paper Computer Science Formal Methods in Verification

Linus Heck, Jip Spel, Sebastian Junges, Joshua Moerman, Joost-Pieter Katoen

13

citations
Learning Lifted Action Models from Traces with Minimal Information About Actions and States
2026 conference-paper Computer Science AI-based Problem Solving and Planning Open access

Jonas Gösgens, Niklas Jansen, Hector Geffner

0

citations
Learning Lifted Action Models from Traces with Minimal Information About Actions and States
2026 arXiv (Cornell University) preprint Computer Science AI-based Problem Solving and Planning Open access

Jonas Gösgens, Niklas Jansen, Hector Geffner

0

citations
Learning Lifted Action Models from Traces with Minimal Information About Actions and States
2026 arXiv (Cornell University) preprint Computer Science AI-based Problem Solving and Planning Open access

Jonas Gösgens, Niklas Jansen, Hector Geffner

0

citations
Finite-Time Analysis of Natural Actor-Critic for POMDPs
2024 SIAM Journal on Mathematics of Data Science article Computer Science Reinforcement Learning in Robotics Open access

Semih Çaycı, Niao He, R. Srikant

2

citations
Structure-exploiting uncertainty quantification and control : Bayesian inference and Itô SDE methods from MRI segmentation to autonomous sensing
2025 RWTH Publications (RWTH Aachen) dissertation Computer Science Medical Image Segmentation Techniques Open access

Felix Terhag

0

citations
Verifying Belief-Based Programs via Symbolic Dynamic Programming
2023 Frontiers in artificial intelligence and applications book-chapter Computer Science Logic, Reasoning, and Knowledge Open access

Daxin Liu, Qinfei Huang, Vaishak Belle, Gerhard Lakemeyer

1

citations
An Examination of Offline-Trained Encoders in Vision-Based Deep Reinforcement Learning for Autonomous Driving
2024 2022 IEEE 18th International Conference on Automation Science and Engineering (CASE) conference-paper Computer Science Reinforcement Learning in Robotics

Shawan Taha Mohammed, Alp Argun, Nicolas Bonnotte, Gerd Ascheid

0

citations
An Examination of Offline-Trained Encoders in Vision-Based Deep Reinforcement Learning for Autonomous Driving
2024 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Shawan Taha Mohammed, Alp Argun, Nicolas Bonnotte, Gerd Ascheid

0

citations
Curvature induced patterns: A geometric, analytical approach to understanding a mechanochemical model
2026 Physica D Nonlinear Phenomena article Computer Science Nonlinear Dynamics and Pattern Formation Open access

Daphne Nesenberend, Arjen Doelman, Frits Veerman

0

citations
Verification of Robust Multi-Agent Systems
2026 conference-paper Computer Science Formal Methods in Verification Open access

Raphaël Berthon, Joost-Pieter Katoen, Munyque Mittelmann, Aniello Murano

0

citations
Reinforcement learning for Quantum Tiq-Taq-Toe
2024 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Catalin-Viorel Dinu, Thomas M. Moerland

0

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

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
MultiETSC: automated machine learning for early time series classification
2021 Data Mining and Knowledge Discovery article Computer Science Time Series Analysis and Forecasting Open access

Gilles B. Ottervanger, Mitra Baratchi, Holger H. Hoos

9

citations
The quantum cartpole: A benchmark environment for non-linear reinforcement learning
2024 SciPost Physics Core article Computer Science Quantum Computing Algorithms and Architecture Open access

Kai Meinerz, Simon Trebst, Mark Spencer Rudner, Evert van Nieuwenburg

0

citations
Curvature Induced Patterns: A Geometric, Analytical Approach to Understanding a Mechanochemical Model
2025 SSRN Electronic Journal preprint Computer Science Nonlinear Dynamics and Pattern Formation Open access

Daphne Nesenberend, Frits Veerman, Arjen Doelman

0

citations
Deep learning based tumor–stroma ratio scoring in colon cancer correlates with microscopic assessment
2023 Journal of Pathology Informatics article Computer Science AI in cancer detection Open access

Marloes A. Smit, Francesco Ciompi, John‐Melle Bokhorst, Gabi W. van Pelt, Oscar G. F. Geessink, Hein Putter, +4 more

28

citations
Multi-center evaluation of an automated pipeline to segment perivascular spaces from routine MRI in patients with small vessel disease
2024 Cerebral Circulation - Cognition and Behavior article Computer Science Medical Image Segmentation Techniques Open access

Alberto De Luca, Ana Sofia Costa, Geert Jan Biessels, María del C. Valdés Hernández, Lucia Ballerini, Francesca M. Chappell, +6 more

0

citations
Strategy Synthesis for POMDPs in Robot Planning via Game-Based Abstractions
2020 IEEE Transactions on Automatic Control article Computer Science Formal Methods in Verification Open access

Leonore Winterer, Sebastian Junges, Ralf Wimmer, Nils Jansen, Ufuk Topcu, Joost-Pieter Katoen, +1 more

13

citations
Normal-Tangential Flow Response to Edge Truncation in Capacitated Networks
2023 RWTH Publications (RWTH Aachen) conference-paper Computer Science Topological and Geometric Data Analysis Open access

Josef Hoppe, Michael T. Schaub

1

citations
Exponential quantum advantages in learning quantum observables from classical data
2024 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Riccardo Molteni, Casper Gyurik, Vedran Dunjko

1

citations
Nicht-parametrische Schätzung von Kundensegmenten mit Paneldaten
2021 RWTH Publications (RWTH Aachen) dissertation Computer Science Bayesian Methods and Mixture Models Open access

Johannes Ferdinand Jörg

1

citations