Exam: Fri 20 Nov 2026 · Lecture notes: 3 · Flashcards: 253 · Exam questions: 48
Schedule, assessment and deadlines live in the course overview.
Flashcards
253 short single-fact cards across 6 sets. Open the flashcards to study the whole course, one lecture, or any mix of lectures. Each lecture note also ends with its own set.
Exam questions: 48 long-form exam-style questions with key points and model answers, for written practice.
Lecture notes
- L01 Agents, Multiagent Systems and Agentic AI · 32 cards
Intelligent Agent, Agent Program, Rational Agent, Multi-Agent System, … - L02 Game Theory and Population Dynamics · 49 cards
Normal-Form Game, Repeated Game, Stochastic Game, Best Response, … - L03 Intro to Multi-Agent Reinforcement Learning · 47 cards
Reinforcement Learning, Markov Decision Process, Value Function, Bellman Equation, …
Book Notes
- Book Ch2: Intelligent Agents · 43 cards
Exercises
- Lab01: Simple Agents, Complex Dynamics · 35 cards
- Lab02: Learning Agents · 47 cards