Brown. Resources list for game theory
TAs based these notes in large part on the lecture notes and accompanying videos of Tim Roughgarden's CS 364A and CS 364B courses at Stanford, and Jason Hartline's Mechanism Design and Approximation textbook.
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CS 173 cs.brown.edu
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Additional Resources cs61a.org
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Apt & Grädel. Lectures in Game Theory for Computer Scientists cambridge.org
Games provide mathematical models for interaction, and numerous tasks in computer science can be formulated in game-theoretic terms.
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Penna. Algorithmic Game Theory ml2.inf.ethz.ch
The course discusses algorithmic aspects of game theory, such as a general introduction to game theory, auctions, mechanisms, the costs of a central control optimum versus those of an equilibrium under selfish agents, and algorithms and complexity of computing equilibria.
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Agrawal & Jaiswal. When Machine Learning Meets AI and Game Theory cs229.stanford.edu
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Theoretical Computer Science › Lecture Notes: “TAs based these notes in large part on the lecture notes and accompanying videos of Tim Roughgarden's CS 364A and CS 364B courses at Stanford, and Jason Hartline's Mechanism Design and Approximation textbook.”