Leibniz Universität Hannover Faculty Faculty of Electrical Engineering and Computer Science
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Institute of Communications Technology
 
Institute of Communications Technology Studies Lectures

Multi-Agent Communication Systems

This course begins with an overview of various controlled communication systems, establishing a foundation in the principles and challenges of such systems.  Then it introduces the general framework of Markov Decision Processes (MDPs) and their extension to Partially Observable Markov Decision Processes (POMDPs), offering applications of decision-making in uncertain communication environments.

In this lecture the students learn to model communication systems as MDPs or POMDPs, which enables structured analysis and optimization of system performance under different conditions. Building on this, the course introduces practical reinforcement learning techniques tailored for solving/applying (PO)MDPs in communication systems. The focus is initially on single-agent systems and later progresses to multi-agent communication systems, where interactions between agents introduce additional complexity. Students will learn how RL can be extended to manage and optimize these interactions, with a focus on both cooperative and competitive strategies.

This course combines theoretical concepts with practical programming exercises. The lecture is given in English.

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Contents

  • Introduction to relevant (selected) classes of communication systems
  • Introduction to MDPs and POMDPs
  • Modelling of communication systems as (PO)MDP
  • Introduction to Reinforcement Learning for communication system (PO)MDPs
  • Learning in single-agent communication systems
  • Approaches to multi-agent communication systems (exact, decompositional, approximative)
  • Learning in multi-agent communication systems
  • Cooperative vs competitive communication system modelling

Dates

Summer Term 2026

Lecture

Exercise

Materials

Materials will be distributed via Stud.IP

Exam

Written Exam (90 min)

Contact

Please use the forum on Stud.IP for organizational and content-related questions that might concern all participants.

For personal administrative matters, please write to macs@ikt.uni-hannover.de.

Prüfungs- und Vorlesungsanmeldung

Ihr Dozent

Jannis Weil Jannis Weil
Dr. Jannis Weil
Research Staff
Phone
+49 511 762 18907
Email
jannis.weilikt.uni-hannover.de
Address
Appelstraße 9a
30167 Hannover
Building
3408
Room
1433
Jannis Weil Jannis Weil
Dr. Jannis Weil
Research Staff
Phone
+49 511 762 18907
Email
jannis.weilikt.uni-hannover.de
Address
Appelstraße 9a
30167 Hannover
Building
3408
Room
1433

Kontaktperson

Amr Rizk Amr Rizk
Prof. Dr. Amr Rizk
Professors
Phone
+49 511 762 14832
Email
amr.rizkikt.uni-hannover.de
Address
Appelstraße 9a
30167 Hannover
Building
3408
Room
1421
Amr Rizk Amr Rizk
Prof. Dr. Amr Rizk
Professors
Phone
+49 511 762 14832
Email
amr.rizkikt.uni-hannover.de
Address
Appelstraße 9a
30167 Hannover
Building
3408
Room
1421

Last Change: 23.02.26 Print

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