Netzgewahre Regelung & regelungsgewahre Netze

Overview

Key Facts

Project duration:
08/2016 - 07/2019
Funded by:
DFG
Website:
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Principal Investigators

Publications

Multi-agent Policy Gradient Algorithms for Cyber-physical Systems with Lossy Communication
A. Redder, A. Ramaswamy, H. Karl, in: Proceedings of the 14th International Conference on Agents and Artificial Intelligence, SCITEPRESS - Science and Technology Publications, 2022.
DOI
Distributed optimization over time-varying networks with stochastic information delays
A. Ramaswamy, A. Redder, D.E. Quevedo, IEEE Transactions on Automatic Control (2021) 1–1.
DOI
Deep reinforcement learning for wireless sensor scheduling in cyber–physical systems
A.S. Leong, A. Ramaswamy, D.E. Quevedo, H. Karl, L. Shi, Automatica (2019).
DOI
Modelling Time-Limited Capacity of a Wireless Channel as aMarkov Reward Process
B. Shiferaw Heyi, H. Karl, in: Proc. of IEEE Wireless Communications and Networking Conference (WCNC), 2018.
DeepCAS: A Deep Reinforcement Learning Algorithm for Control-Aware Scheduling
B. Demirel, A. Ramaswamy, D. Quevedo, H. Karl, in: 2018.
DOI
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