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TDDE13 Multiagent Systems
Timetable
Sessions
- Nov 5 Lecture (A38): Introduction and overview [slides]
- Nov 7 Lecture (T2): Distributed AI [slides]
- The course material for week 2-3 is the following online lectures from Game Theory Online:
- Game Theory I - Week 1 (Introduction)
- Game Theory I - Week 2 (Mixed-strategy Nash equilibria)
- Game Theory I - Week 3 (Alternate solution concepts)
- Game Theory I - Week 4 (Extensive-Form Games)
- Game Theory I - Week 5 (Repeated Games)
- Game Theory I - Week 6 (Bayesian Games)
- Game Theory I - Week 7 (Coalitional Games)
- and the following pre-recorded lectures
- Nov 13 Lecture (FE249): Agentic AI [slides]
- Nov 13 (SU12-13), Lab session: Agentic AI
- Nov 21 (R18), Seminar: Game theory (exercise set 1 to be handed in before the seminar)
- The course material for week 4 and 5 is the following online lectures from Game Theory Online:
- Nov 28 (Planck), Lecture: Multi-agent Learning [old slides, old slides part 1, old slides part 2, old slides part 3]
- Dec 4 (SU04), Lab session: Multi-agent reinforcement learning
- Dec 6 (R19), Seminar: Social choice, mechanism design and auctions (exercise set 2 to be handed in before the seminar)
- Dec 8-9, Discuss individual reports individually with Amath Sow
- Dec 18 (Planck), Seminar: Student presentations on individual report
Deadlines
- Nov 20, Deadline: Exercise set 1 submitted
- Dec 5, Deadline: Exercise set 2 submitted
- Dec 9, Deadline: Approved choice of subject for the individual report
- Dec 15, Deadline: Lab 1 and 2 reports submitted
- Jan 12, Deadline: Individual report submitted
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Last updated: 2025-11-13
