Game Theory Cheat Sheet
-
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
Implementing different learning algorithms and analyzing their performance in a Markov game model called the Soccer Game
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.
MasterAI decisively defeated 14 top human Texas hold'em poker professsionals in September 2020.
Equilibrium Verification Environment (EVE) is a formal verification tool for the automated analysis of temporal equilibrium properties of concurrent and multi-agent systems.
Game Theoretic Representation of Economic Experiments
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 panoply of algorithms in game theory, econometrics, linear programming, and Montecarlo simulations.
A set of functions in pure Julia for Game Theory
MasterAI decisively defeated 14 top human Texas hold'em poker professsionals in September 2020.
Illustrative examples of a multi-objective program subject to a binary quasi-equilibrium
PSO for Nash Equilibrium. This is the code for my undergraduate thesis.粒子群算法求解纳什均衡
Implementation of Deep Convolutional Generative Adversarial Networks in Pytorch and Tensorflow
Finds nash equilibria in strategic games by solving linear complementarity problems (LCP).
Bachelor Thesis on "Evaluating regrets while joining a community - A Novel Community Detection in Large Networks using Game Theory."
A Special Nash Equilibrium
A GUI-tool for computing Nash flows over time with or without spillback as well as (spillback) thin flows.
Add a description, image, and links to the nash-equilibrium topic page so that developers can more easily learn about it.
To associate your repository with the nash-equilibrium topic, visit your repo's landing page and select "manage topics."