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"

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

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

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

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

Equilibria computation in zero-sum games.

A Python package for game theory, especially its visualization.