A custom MARL (multi-agent reinforcement learning) environment where multiple agents trade against one another (self-play) in a zero-sum continuous double auction. Ray [RLlib] is used for training.

Implementing different learning algorithms and analyzing their performance in a Markov game model called the Soccer Game

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 simple Nash Equilibrium solver for two-player zero-sum games

Combined AI and Web-Development Subject: "A web application with AI bot for Νine Μen's Μorris board game"

Deep Reinforcement Learning algorithms to play Connect4 using a combination of Supervised Learning and Reinforcement Learning

Tic Tac Toe Game engine built with Javascript

A basic Othello (Reversi) implementation that is playable by both humans and general minimax alpha-beta pruning agents

University Class AI Project using Minimax Algorithm and Heuristics to make an AI that can play the game

Some applications of optimization using linear, binary, and integer programming.

Python Othello Board Game to be played in Human vs. Computer mode, using alpha-beta pruning (minmax algorithm) algorithm.🎮👾🤖🏆

Equilibria computation in zero-sum games.

A Python package for game theory, especially its visualization.