An Awesome list for resources on algorithmic game theory

ZERO is a modular C++ library interfacing Mathematical Programming and Game Theory.

Why do you help us but not them?

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

This project earned me 2nd place in the IEEE Event at APOGEE 2024, the technical fest of BITS Pilani. The competition revolved around Strategy Comparison Games, incorporating a unique twist: a dynamic payoff matrix with added noise in communication.

Course given at the MSc AI @vu

Course notes for Stanford's algorithmic game theory course (CS269I: Incentives in Computer Science).

Repo associated with the paper: Algorithmic Collusion And The Minimum Price Markov Game

Dimensional Game Theory (DGT) is a formal extension of classical game theory that reconceptualizes strategies as multi-dimensional vectors within dynamically activated parameter spaces.

Correlated Equilibrium and Mixed Nash Equilibrium with python

Tic-Tac-Toe AI powered by Karnaugh Maps and Boolean Logic

Solutions, code, and documentation for the Economic Algorithms (course 5785) module at Ariel University.

Work-throughs of qiskit/pyquil quantum computing tutorials & exercises

This repository contains all codes and data for generating figures used in the decision heuristic paper of September 2020

Toy simulation of strategic behavior in classification (economics + ML).

Algorithmic Game Theory: Introduction to Mechanism Design. (German)

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.

Assignment - Università della Calabria

Some code for Algorithms, Incentives, and Data (Algorithmic Game Theory) 2023 Fall Semester. Instructed by Prof. Ioannis Caragiannis.