Work-throughs of qiskit/pyquil quantum computing tutorials & exercises
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Updated
Aug 19, 2020 - Python
Work-throughs of qiskit/pyquil quantum computing tutorials & exercises
An algorithm to calculate all pure strategy Nash equilibria in multi-objective games with quasiconvex utility functions
Algorithmic Game Theory: Introduction to Mechanism Design. (German)
Course given at the MSc AI @vu
An Awesome list for resources on algorithmic game theory
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.
Algorithms for computing or learning equilibria in multi-objective games
This solver uses the support enumeration method for Nash Equilibrium computation of a 2-player bimatrix game.
ZERO is a modular C++ library interfacing Mathematical Programming and Game Theory.
Assignment - Università della Calabria
Some code for Algorithms, Incentives, and Data (Algorithmic Game Theory) 2023 Fall Semester. Instructed by Prof. Ioannis Caragiannis.
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).
Correlated Equilibrium and Mixed Nash Equilibrium with python
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