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Computation–Accuracy Trade-Off in Service-Oriented Model-Based Control2026 IEEE International Conference on Mobility, Operations, Services and Technologies (MOST) conference-paper Computer Science Advanced Software Engineering Methodologies
Hazem Ibrahim, Julius Beerwerth, Lorenz Dörschel, Bassam Alrifaee
0citations -
Model-based reinforcement learning for hydraulic systems: a PILCO-based control strategy for controlling an inverted hydraulic pendulum2025 International Journal of Dynamics and Control article Computer Science Reinforcement Learning in Robotics Open access
Faras Brumand‐Poor, Paul Wagemann, Timm Geibel, Katharina Schmitz
4citations -
One-shot optimization for vehicle dynamics control systems2022 Genetic and Evolutionary Computation Conference Companion (GECCO Companion) conference-paper Computer Science Advanced Multi-Objective Optimization Algorithms Open access
André Thomaser, Anna V. Kononova, Marc-Eric Vogt, Thomas Bäck
7citations -
Deep Reinforcement Learning for Robotic Control in High-Dexterity Assembly Tasks — A Reward Curriculum Approach2022 International Journal of Semantic Computing article Computer Science Reinforcement Learning in Robotics
Lars Leyendecker, Hans Aoyang Zhou, Владимир Самсонов, Marius Rittstieg, Daniel Lütticke
7citations -
Deep Reinforcement Learning for Robotic Control in High-Dexterity Assembly Tasks - A Reward Curriculum Approach2021 IEEE International Conference on Robotic Computing (IRC) conference-paper Computer Science Reinforcement Learning in Robotics
Lars Leyendecker, Hans Aoyang Zhou, Владимир Самсонов, Marius Rittstieg, Daniel Lütticke
9citations