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Deep Reinforcement Learning for Event-Triggered Control

Deep Reinforcement Learning for Event-Triggered Control

13 September 2018
Dominik Baumann
Jia Jie Zhu
Georg Martius
Sebastian Trimpe
    BDL
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Papers citing "Deep Reinforcement Learning for Event-Triggered Control"

9 / 9 papers shown
Title
Communication-Control Codesign for Large-Scale Wireless Networked
  Control Systems
Communication-Control Codesign for Large-Scale Wireless Networked Control Systems
Gaoyang Pang
Wanchun Liu
Dusit Niyato
Branka Vucetic
Yonghui Li
AI4CE
23
0
0
15 Oct 2024
Deep reinforcement learning of event-triggered communication and
  consensus-based control for distributed cooperative transport
Deep reinforcement learning of event-triggered communication and consensus-based control for distributed cooperative transport
Kazuki Shibata
Tomohiko Jimbo
Takamitsu Matsubara
17
11
0
05 Dec 2022
Inverted Landing in a Small Aerial Robot via Deep Reinforcement Learning
  for Triggering and Control of Rotational Maneuvers
Inverted Landing in a Small Aerial Robot via Deep Reinforcement Learning for Triggering and Control of Rotational Maneuvers
Bryan Habas
J. Langelaan
Bo Cheng
21
4
0
22 Sep 2022
Deep Reinforcement Learning for Wireless Scheduling in Distributed Networked Control
Deep Reinforcement Learning for Wireless Scheduling in Distributed Networked Control
Gaoyang Pang
Kang Huang
Daniel E. Quevedo
Branka Vucetic
Yonghui Li
Wanchun Liu
28
18
0
26 Sep 2021
Deep Reinforcement Learning Based Networked Control with Network Delays
  for Signal Temporal Logic Specifications
Deep Reinforcement Learning Based Networked Control with Network Delays for Signal Temporal Logic Specifications
Junya Ikemoto
T. Ushio
18
3
0
03 Aug 2021
Machine Learning in Event-Triggered Control: Recent Advances and Open
  Issues
Machine Learning in Event-Triggered Control: Recent Advances and Open Issues
Leila Sedghi
Zohaib Ijaz
Md. Noor-A.-Rahim
K. Witheephanich
Dirk Pesch
AI4CE
33
15
0
27 Sep 2020
Learning Event-triggered Control from Data through Joint Optimization
Learning Event-triggered Control from Data through Joint Optimization
Niklas Funk
Dominik Baumann
V. Berenz
Sebastian Trimpe
10
17
0
11 Aug 2020
Continuous-Discrete Reinforcement Learning for Hybrid Control in
  Robotics
Continuous-Discrete Reinforcement Learning for Hybrid Control in Robotics
Michael Neunert
A. Abdolmaleki
Markus Wulfmeier
Thomas Lampe
Jost Tobias Springenberg
Roland Hafner
Francesco Romano
J. Buchli
N. Heess
Martin Riedmiller
21
91
0
02 Jan 2020
Statistical Learning for Analysis of Networked Control Systems over
  Unknown Channels
Statistical Learning for Analysis of Networked Control Systems over Unknown Channels
Konstantinos Gatsis
George J. Pappas
14
11
0
08 Nov 2019
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