Game Theory Cheat Sheet
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Updated
May 4, 2023
Game Theory Cheat Sheet
PyDiffGame is a Python implementation of a Nash Equilibrium solution to Differential Games, based on a reduction of Game Hamilton-Bellman-Jacobi (GHJB) equations to Game Algebraic and Differential Riccati equations, associated with Multi-Objective Dynamical Control Systems
Computing mixed-strategy Nash Equilibria for games involving multiple players
Implementation of the Nash Q-Learning algorithm to solve simple MARL problems with two agents.
Implementing different learning algorithms and analyzing their performance in a Markov game model called the Soccer Game
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Game Theoretic Representation of Economic Experiments
Equilibrium Verification Environment (EVE) is a formal verification tool for the automated analysis of temporal equilibrium properties of concurrent and multi-agent systems.
A panoply of algorithms in game theory, econometrics, linear programming, and Montecarlo simulations.
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.
A set of functions in pure Julia for Game Theory
PSO for Nash Equilibrium. This is the code for my undergraduate thesis.粒子群算法求解纳什均衡
Illustrative examples of a multi-objective program subject to a binary quasi-equilibrium
Implementation of Deep Convolutional Generative Adversarial Networks in Pytorch and Tensorflow
Finds nash equilibria in strategic games by solving linear complementarity problems (LCP).
A Python implementation of game theory algorithms.
A Special Nash Equilibrium
Codebase for federated mixture of experts.
This repo contains the simulations found in the paper "Calculating Nash equilibrium on quantum annealers"
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