Nash equilibria finder, hacked for an university course on game theory.

🤓 My master project, analysing Nash Equilibrium of reactive modules games.

Finds nash equilibria in strategic games by solving linear complementarity problems (LCP).

Game theory simulation of a cooperative game

Illustrative examples of a multi-objective program subject to a binary quasi-equilibrium

Prototype C++ implementations of multi-terminal BDD node-table and symbolic Bellman-Ford for graph games

Computation of Nash Equilibrium in Reachability Games

Open Games, Correlated Equilibria Etc

Collection of computational algorithms in Game theory

Implementation of Deep Convolutional Generative Adversarial Networks in Pytorch and Tensorflow

My thesis code for the Computer Engineering Master in NTUA

Simulation of agents competing for resources with different strategies

This 'Generative Adversarial Network' project was implemented in grad course CSE-676 : Deep Learning [Fall 2019 @UB_SUNY] Course Instructor : Sargur N. Srihari(https://cedar.buffalo.edu/~srihari/)

A Python package for game theory, especially its visualization.

R scripts to support game theory's task calculations

Repository to share my personal studies on the algorithmic game theory subject.

This repository analyses Strategic form games for N-player calculating various Equilibrium's, Calculate MSNE for 2-Player strategic form and zero sum game, Also contains algorithm for N-player finite Mechanism design to check if social choice function is SDSE, Ex-Post-efficient and Non-dictatorial.

Comparative system for multiagent algorithms with different learning strategies. The analysis is carries with the helps of a nash equilibria comparison, the replicator dynamic and a simple grand table with the average reward obtained.