COMP 667: Multiagent Systems Report a Broken Link

Course Orientation


Unit 1: Foundations


Section 1 – Preference, Utility, and Games in Normal Form
Section 2 – Games With Sequential Actions
Section 3 – Reinforcement Learning: Markov Decision Process and Q-Learning
Section 4 – NetLogo
Section 5 – Repeated Games
Section 6 – Stochastic Games and Games With Uncertainty
Section 7 – Congestion Games

Unit 2: Intelligent Agents and Multiagent Systems


Section 1 – Intelligent Agents
Section 2 – Multiagent Systems

Unit 3: Multiagent Learning


Section 1 – Introduction to Multiagent Learning, Fictitious Play, and Rational Learning
Section 2 – Reinforcement Learning (Stochastic Games)

Unit 4: Social Choice


Section 1 – Social Choice Theory
Section 2 – Arrow’s Impossibility Theorem
Section 3 – Ranking Systems

Unit 5: Mechanism Design


Section 1 – Mechanism, Implementation, and the Revelation Principle
Section 2 – Mechanism Design

Unit 6: Multiagent Resource Allocation


Section 1 – Single-Good Auctions

Unit 7: Coalitional Games


Section 1 – Definitions and Examples
Section 2 – Analyzing Coalitional Games