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Mini-Batching, Gradient-Clipping, First- versus Second-Order: What Works in Gradient-Based Coefficient Optimisation for Symbolic Regression?2023 Genetic and Evolutionary Computation Conference (GECCO) conference-paper Computer Science Evolutionary Algorithms and Applications Open access
Joe Harrison, Marco Virgolin, Tanja Alderliesten, Peter A. N. Bosman
8citations -
Delayed Deep Deterministic Policy Gradient-Based Energy Management Strategy for Overall Energy Consumption Optimization of Dual Motor Electrified Powertrain2023 IEEE Transactions on Vehicular Technology article Engineering Electric and Hybrid Vehicle Technologies
Jiageng Ruan, Changcheng Wu, Hanghang Cui, Weihan Li, Dirk Uwe Sauer
46citations -
Finite Operator Learning: Bridging neural operators and numerical methods for efficient parametric solution and optimization of PDEs2025 Finite Elements in Analysis and Design article Physics and Astronomy Model Reduction and Neural Networks Open access
Shahed Rezaei, Reza Najian Asl, Kianoosh Taghikhani, Ahmad Moeineddin, Michael Kaliske, Markus Apel
12citations -
Application of CIGAR for collective learning between CNN–BiLSTM models in lithium-ion battery state of health prediction2026 Neural Computing and Applications article Engineering Advanced Battery Technologies Research Open access
Sylwia Olbrych, Zi Xuan Tung, Sehriban Celik, Hans Aoyang Zhou, Anas Abdelrazeq, Dirk Uwe Sauer, +1 more
0citations -
Solving Deep Reinforcement Learning Tasks with Evolution Strategies and Linear Policy Networks2026 ACM Transactions on Evolutionary Learning and Optimization article Computer Science Reinforcement Learning in Robotics Open access
Annie Wong, Jacob de Nobel, Thomas Bäck, Aske Plaat, Anna V. Kononova
0citations