An Awesome list for resources on algorithmic game theory
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Updated
Jan 9, 2023
An Awesome list for resources on algorithmic game theory
ZERO is a modular C++ library interfacing Mathematical Programming and Game Theory.
An algorithm to calculate all pure strategy Nash equilibria in multi-objective games with quasiconvex utility functions
Algorithms for computing or learning equilibria in multi-objective games
Course given at the MSc AI @vu
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.
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.
Algorithmic Game Theory: Introduction to Mechanism Design. (German)
Correlated Equilibrium and Mixed Nash Equilibrium with python
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.
Work-throughs of qiskit/pyquil quantum computing tutorials & exercises
Assignment - Università della Calabria
Some code for Algorithms, Incentives, and Data (Algorithmic Game Theory) 2023 Fall Semester. Instructed by Prof. Ioannis Caragiannis.
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