72 citations · 322 across the 23 of their papers we have counts for
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eess.SY2018★ 15 cited
Deep Reinforcement Learning for Event-Triggered Control
Dominik Baumann, Jia-Jie Zhu, Georg Martius +1
Event-triggered control (ETC) methods can achieve high-performance control with a significantly lower number of samples compared to usual, time-triggered methods. These frameworks…
eess.SY2018★ 26 cited
Event-triggered Learning for Resource-efficient Networked Control
Friedrich Solowjow, Dominik Baumann, Jochen Garcke +1
Common event-triggered state estimation (ETSE) algorithms save communication in networked control systems by predicting agents' behavior, and transmitting updates only when the pre…