Computational Game Solving (CMU 15-888, F21)

In Fall 2021 I co-designed and co-taught a new graduate course on computational game theory at CMU, together with Tuomas Sandholm.

The course focuses on multi-step imperfect-information games. Such games beget additional issues beyond perfect-information games like chess and Go, such as signaling, deception, and understanding deception by others. There has been tremendous progress in the AI community on solving such games since around 2003. The course covers the fundamentals and the state of the art of solving such games.
2021-09-09
2021-09-14
2021-09-16
2021-09-21
2021-09-28
2021-09-30
2021-10-05
2021-10-07
2021-11-11
2021-11-16

Course Homepage

Lecture Notes


For typos or questions, please feel free to drop me an email at gfarina AT cs.cmu.edu.