5 citations · 5 across the 1 of their papers we have counts for
3 papers
cs.RO2021
Deep 6-DoF Tracking of Unknown Objects for Reactive Grasping
Marc Tuscher, Julian Hörz, Danny Driess +1
Robotic manipulation of unknown objects is an important field of research. Practical applications occur in many real-world settings where robots need to interact with an unknown en…
cs.LG2020
Deep Reinforcement Learning using Cyclical Learning Rates
Ralf Gulde, Marc Tuscher, Akos Csiszar +2
Deep Reinforcement Learning (DRL) methods often rely on the meticulous tuning of hyperparameters to successfully resolve problems. One of the most influential parameters in optimiz…
eess.SY2020★ 5 cited
Reinforcement Learning Approach to Vibration Compensation for Dynamic Feed Drive Systems
Ralf Gulde, Marc Tuscher, Akos Csiszar +2
Vibration compensation is important for many domains. For the machine tool industry it translates to higher machining precision and longer component lifetime. Current methods for v…