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An Awesome list for resources on algorithmic game theory
Course given at the MSc AI @VU
Unofficial digital notes for Stanford's algorithmic game theory course (CS269I: Incentives in Computer Science).
This solver uses the support enumeration method for Nash Equilibrium computation of a 2-player bimatrix game.
An AI that plays Tic-Tac-Toe using the Minimax algorithm, ensuring it always wins or draws. Demonstrates optimal decision-making and game logic implementation.
Correlated Equilibrium and Mixed Nash Equilibrium with python
Work-throughs of qiskit/pyquil quantum computing tutorials & exercises
Assignment - Università della Calabria
This repository contains my solutions for homework and project of Algorithmic Game Theory course held at Sharif University of Technology (SUT) by Prof. Mohammad Izadi in Fall 2020.
Some code for Algorithms, Incentives, and Data (Algorithmic Game Theory) 2023 Fall Semester. Instructed by Prof. Ioannis Caragiannis.
Algorithmic Game Theory: Introduction to Mechanism Design. (German)