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
Implementation of the Nash Q-Learning algorithm to solve simple MARL problems with two agents.
Computing mixed-strategy Nash Equilibria for games involving multiple players
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Implementing different learning algorithms and analyzing their performance in a Markov game model called the Soccer Game
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
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
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Implementation of Deep Convolutional Generative Adversarial Networks in Pytorch and Tensorflow
Illustrative examples of a multi-objective program subject to a binary quasi-equilibrium
A Python implementation of game theory algorithms.
Finds nash equilibria in strategic games by solving linear complementarity problems (LCP).
Codebase for federated mixture of experts.
My MSc project on applying, tuning and modifying the PPO and A2C algorithms to Pettingzoo MARL library two player poker game
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