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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.
This project is focused on building a tool to calculate the expected value (EV) of poker hands in the popular card game Texas Holdem. The tool will allow players to make more informed decisions by analyzing the EV of different hand scenarios and betting strategies.
This is an implementation of a learning algorithm (Best Response Dynamics) to find Nash Equilibria for voting games, specifically for the Plurality and Borda voting rules.
Three projects about Machine Learning (ML) and Artificial Intelligence (AI) written in Python programming language. There are two graphic simulations of game theory (sequential games) and search algorithms and one analysis and data processing using the K-Nearest Neighbors (KNN) algorithm.
Simple implementation of the classic Tic Tac Toe game using Python's Tkinter library for the GUI. Features include player vs. AI gameplay, win and tie detection, and dynamic GUI updates. Easy to play and customize. Enjoy a timeless game of Tic Tac Toe!