Papers matching “training parameter optimization” 58
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Reinforcement Learning for Quality-Oriented Production Process Parameter Optimization Based on Predictive Models2023 Advances in transdisciplinary engineering book-chapter Computer Science Reinforcement Learning in Robotics Open access
Akshay Paranjape, Nils Plettenberg, Markus Ohlenforst, Robert Heinrich Schmitt
2citations -
Reinforcement Learning Agent for Multi-Objective Online Process Parameter Optimization of Manufacturing Processes2025 Applied Sciences article Computer Science Advanced Multi-Objective Optimization Algorithms Open access cited by 1 patent
Akshay Paranjape, Nahid Quader, Lars Uhlmann, Benjamin Berkels, Dominik Wolfschläger, Robert Heinrich Schmitt, +1 more
3citations -
Hybrid quantum ResNet for car classification and its hyperparameter optimization2023 Quantum Machine Intelligence article Computer Science Quantum Computing Algorithms and Architecture Open access
Asel Sagingalieva, Mohammad Kordzanganeh, Andrii Kurkin, Artem Melnikov, Daniil Kuhmistrov, Michael Romanovich Perelshtein, +2 more
42citations -
Hybrid Inference Optimization for AI-Enhanced Turbulent Boundary Layer Simulation on Heterogeneous Systems2026 JuSER Publikationsportal article Computer Science Parallel Computing and Optimization Techniques Open access
Fabian Orland, Tom Hilgers, Fabian Hübenthal, Rakesh Sarma, Andreas Lintermann, Christian Terboven
0citations -
Segmentation-Driven Optimization For Iterative Reconstruction in Optical Projection Tomography: An Exploration2020 IEEE Transactions on Computational Imaging article Computer Science Medical Image Segmentation Techniques Open access
Xiaoqin Tang, Hermes Spaink, Rob Christiaan van Wijk, Fons J. Verbeek
2citations -
Quantum-Assisted Multi-Output Gaussian Processes for Line Parameter Estimation in Power Systems2026 RWTH Publications (RWTH Aachen) article Computer Science Quantum Computing Algorithms and Architecture Open access
Priyanka Arkalgud Ganeshamurthy, Kumar Ghosh, Corey O’Meara, G. Cortiana, Jan Schiefelbein-Lach, Antonello Monti, +1 more
0citations -
Trainability maximization using estimation of distribution algorithms assisted by surrogate modelling for quantum architecture search2024 EPJ Quantum Technology article Computer Science Quantum Computing Algorithms and Architecture Open access
Vicente P. Soloviev, Vedran Dunjko, Concha Bielza, Pedro Larrañaga, Hao Wang
2citations -
Trainability maximization using estimation of distribution algorithms assisted by surrogate modelling for quantum architecture search2024 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access
Vicente P. Soloviev, Vedran Dunjko, Concha Bielza, Pedro Larrañaga, Hao Wang
0citations -
Using Reinforcement Learning for Per-Instance Algorithm Configuration on the TSP2023 IEEE Symposium Series on Computational Intelligence (SSCI) conference-paper Computer Science Metaheuristic Optimization Algorithms Research Open access
Moritz Vinzent Seiler, Jeroen Rook, Jonathan Heins, Oliver Ludger Preuß, Jakob Bossek, Heike Trautmann
7citations -
One More Time: Revisiting Neural Quantum States from a Reinforcement Learning Perspective2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access
Juan Agustin Duque, Sergio García Heredia, Vinicius Hernandes, Eliška Greplová, Thomas Spriggs, Aaron Courville, +1 more
0citations -
Learning multiple defaults for machine learning algorithms2021 Genetic and Evolutionary Computation Conference Companion (GECCO Companion) conference-paper Computer Science Machine Learning and Data Classification Open access
Florian Pfisterer, Jan N. van Rijn, Philipp Probst, Andreas Christian Müller, Bernd Bischl
28citations