DIVISION OF ENGINEERING AND APPLIED SCIENCES
HARVARD UNIVERSITY

CS 281r. Artificial Intelligence Reasoning and Planning Systems: Computational Game Theory

MW 1:00-2:30

Maxwell Dworkin 125

Instructor

Name Email Telephone Office Hours
Avi Pfeffer avi@eecs 496-1876  Th, 2-4pm, Maxwell Dworkin 251 

If you are unable to make the instructor's office hours, please send email to make an appointment.

Announcements will regularly be sent out via email. Send email to the instructor to get on the list.

Slides from talk on abstraction are here

Upcoming readings
(Copies of readings not on the web are available from Peter Arvidson, MD247.)
Nov 26: Billings, Pena, Schaeffer & Szafron, "Using Probabilistic Knowledge and Simulation to Play Poker", and Davidson, Billings, Schaeffer & Szafron, "Improved Opponent Modeling in Poker".
Nov 28: Halpern, "Reasoning about Knowledge: A Survey".
Dec 3: Ginsberg, "Partition Search" and "GIB: Steps Toward an Expert Level Bridge-Playing Program"
Dec 5: Milch & Koller, "Multi-Agent Influence Diagrams for Representing and Solving Games

Past Readings

Sep 17: Knuth & Moore, "An Analysis of Alpha-Beta Pruning" (sections 1-6 and 1st paragraph of 7).
Sep 24: McAllester, "Conspiracy Numbers for Min-Max Search".
Sep 26: Berlekamp, Conway & Guy, "Winning Ways for your Mathematical Plays", Volume 1, chapters 1 and 2.
Oct 1: Anshelevich, "The Game of Hex: An Automated Theorem Proving Approach to Game Programming".
Oct 3: Tesauro & Sejnowski, "A Parallel Network that Learns to Play Backgammon", and Tesauro, "Practical Issues in Temporal Difference Learning".
Oct 10: Rasmusen, "Games and Information", chapter 1.
Oct 15: Myerson, "Game Theory", chapter 3.
Oct 22: Chvatal, "Linear Programmings", selections from chapters 1-5 and 15.
Oct 24: Cottle, Pang and Stone, "The Linear Complementarity Problem", pages 1-5, and Shapley, "A Note on the Lemke-Howson Algorithm"
Oct 31: Fudenberg & Levine, "The Theory of Learning in Games", chapter 2.
Nov 5: No reading
Nov 7: Kearns, Singh & Mansour, "Nash Convergence of Gradient Dynamics in General-Sum Games" and Bowling & Veloso, "Rational and Convergent Learning in Stochastic Games"
Nov 14: Koller & Pfeffer, "Practical Solutions to Game Theoretic Problems"
Nov 19: No reading

Syllabus

Final Project

Homework 3

Homework 2

Homework 1

Objective Caml