Dr. Adrian Redder

Automatic Control (RAT)

Academic Councillor

Research and teaching

E-Mail:
aredder@mail.uni-paderborn.de
Phone:
+49 5251 60-3006
ORCID:
0000-0001-7391-4688
Office Address:
Pohlweg 47-49
33098 Paderborn
Room:
P1.7.09.2
Office hours:

By appointment.

Research

Research Interests

Stochastic Approximation Algorithms

Daten-Driven and Model-free Control

Deep Reinforcement Learning Theory

Distributed Optimization

Publications

Selected Publications

On-The-Fly Compute Centers II: Execution of Composed Services in Configurable Compute Centers

H. Karl, M. Maack, F. Meyer auf der Heide, S. Pukrop, A. Redder, in: C.-J. Haake, F. Meyer auf der Heide, M. Platzner, H. Wachsmuth, H. Wehrheim (Eds.), On-The-Fly Computing -- Individualized IT-Services in Dynamic Markets, Heinz Nixdorf Institut, Universität Paderborn, Paderborn, 2023, pp. 183–202.

DOI PDF

Age of Information Process under Strongly Mixing Communication -- Moment Bound, Mixing Rate and Strong Law

A. Redder, A. Ramaswamy, H. Karl, in: Proceedings of the 58th Allerton Conference on Communication, Control, and Computing, 2022.


Asymptotic Convergence of Deep Multi-Agent Actor-Critic Algorithms

A. Redder, A. Ramaswamy, H. Karl, ArXiv:2201.00570 (2022).

arXiv

Practical Network Conditions for the Convergence of Distributed Optimization

A. Redder, A. Ramaswamy, H. Karl, IFAC-PapersOnLine 55 (2022) 133–138.


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

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Teaching


Current Courses

  • Pro-/Forschungsseminar Datenbasierte Regelungsmethoden