Lecture Index
- Lecture 2 - Strategy, Histories, Winning, At-least-drawing, Losing Strategies, Zermelo’s Theorem
- Lecture 3 - Knowledge, Indistinguishability Relation, General Knowledge, Distributed Knowledge, Common Knowledge, Uniform Strategies.
- Lecture 5 - Logic
- Lecture 6 - Inference, Forward Chaining, Backward Chaining
- Lecture 8 - Bayes Rule, Conditional Probability,
- Lecture 10 - Expected Utility, Lotteries, Rational Preferences, Utility Functions
- Lecture 11 - Prisoner’s Dilemma, Normal Form Games, Nash equilibria, Mixed Strategy
- Lecture 12 - Extensive Games, Pure Strategies, Backwards Induction, Threats
- Lecture 14 - Opponent Modelling, Sight Functions, Sight-Compatible Epistemic Solution, Monte-Carlo Tree Search
- Lecture 15 - Incomplete Information, Imperfect Information, Modelling Imperfect Information, Kuhn’s Theorem, Behavioural Strategy
- Lecture 17 - Regret, Regret Matching, Fictitious Play, Self-Play
- Lecture 18 - Markov Decision Processes, Policy, Bellman Equation, Value Iteration
- Lecture 20 - Reinforcement Learning, Temporal Difference Learning, Q-Learning
- Lecture 23 - Multi-Agent Learning, Evolutionary Stable Strategies, Replicator Dynamics, Cross Learning
- Lecture 25 - Cooperative Games, Coalitions, Properties of Coalitional Games, The Core
- Lecture 26 - Matching, Deferred Acceptance Algorithm, Fairness, Strategy-Proof Mechanisms
- Lecture 27 - Social Networks and Manipulation