Module #16 Computing Optimal Auctions Algorithms for computing optimal auctions:MIP, LP, and dynamic programming
Module #17 Online Algorithms for Game Theory Introduction to online algorithms for game theory:online learning, regret minimization, and online auctions
Module #18 No-regret Algorithms for Game Theory No-regret algorithms for game theory:multiplicative weights, EXP3, and online combinatorial optimization
Module #19 Game Theory and Machine Learning Connections between game theory and machine learning:Nash equilibria, learning in games, and game-theoretic machine learning
Module #20 Game Theory and Networks Game theory on networks:network games, network design, and diffusion models
Module #21 Game Theory and Economics Applications of game theory in economics:general equilibrium, market design, and behavioral economics
Module #22 Game Theory and Computer Science Applications of game theory in computer science:algorithm design, distributed systems, and cryptography
Module #23 Advanced Topics in Algorithmic Game Theory Recent advances and open problems in algorithmic game theory:learning in games, robust mechanism design, and fairness in game theory
Module #24 Course Wrap-Up & Conclusion Planning next steps in Algorithmic Game Theory career
