16 citations · 36 across the 3 of their papers we have counts for
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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…