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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 C. Courville, +1 more
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An Examination of Offline-Trained Encoders in Vision-Based Deep Reinforcement Learning for Autonomous Driving2024 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
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Spatial Maturity Regression for the Classification of Hematopoietic Cells2022 International Conference on Image Processing Theory, Tools and Applications (IPTA) conference-paper Computer Science Digital Imaging for Blood Diseases
Philipp Gräbel, Julian Thull, Martina Margrit Crysandt, Barbara M. Klinkhammer, Peter Boor, Tim H. Brümmendorf, +1 more
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Robust Environment Perception for Automated Driving: A Unified Learning Pipeline for Visual-Infrared Object Detection2022 arXiv (Cornell University) preprint Computer Science Advanced Neural Network Applications Open access
Mohsen Vadidar, Ali Kariminezhad, Christian Mayr, Laurent Kloeker, Lutz Eckstein
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Hot Off the Press: A Newton Method for Hausdorff Approximations of the Pareto Front within Multi-objective Evolutionary Algorithms2025 Genetic and Evolutionary Computation Conference Companion (GECCO Companion) conference-paper Computer Science Advanced Multi-Objective Optimization Algorithms
Hao Wang, Angel E. Rodríguez-Fernandez, Lourdes Uribe, Andre H. Deutz, Oziel Cortés-Piña, Oliver Schütze
0citations