Correlated Equilibrium and Mixed Nash Equilibrium with python
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Updated
Sep 23, 2024 - Python
Correlated Equilibrium and Mixed Nash Equilibrium with python
Unofficial digital notes for Stanford's algorithmic game theory course (CS269I: Incentives in Computer Science).
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.
Some code for Algorithms, Incentives, and Data (Algorithmic Game Theory) 2023 Fall Semester. Instructed by Prof. Ioannis Caragiannis.
Assignment - Università della Calabria
ZERO is a modular C++ library interfacing Mathematical Programming and Game Theory.
This solver uses the support enumeration method for Nash Equilibrium computation of a 2-player bimatrix game.
Algorithms for computing or learning equilibria in multi-objective games
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.
An Awesome list for resources on algorithmic game theory
Course given at the MSc AI @vu
Algorithmic Game Theory: Introduction to Mechanism Design. (German)
An algorithm to calculate all pure strategy Nash equilibria in multi-objective games with quasiconvex utility functions
Work-throughs of qiskit/pyquil quantum computing tutorials & exercises
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