PixelMek is an unofficial BattleTech strategy game using community contributed pixel mech artwork

Learning game strategies in ASP (clingo) using minimax and inductive logic programming (ILASP) ♣️ 🎲

ML model predicting League of Legends match outcomes with 87.9% accuracy pre-game. Outperforms 50% ELO baseline utilizing historic match data and machine learning.

Jump the slims over the obstacles to free them from this nuclear plant in this arcade game.

Reinforcement learning agent for Othello board game implemented in AI. All code is written from scratch to investigate inner workings of RL algorithms. Project was done in completion of Columbia University SHAPE2020 Advanced Computer Science Course.

A high-performance AI assistant for real-time gameplay analysis. Features tactical strategy suggestions, skill-gap detection, and personalized training loops to level up your rank.

Turn-based text games with multiple strategies, including strategies implementing recursive and iterative minimax algorithms.

Territory conquest pixel strategy game with AI

Abalone is a board game of class "2-Person Zero-Sum Game with Complete Information". This repository contains 4 different search strategies for a competitive Abalone gameplay.

Analysis of basic strategy and counting cards regarding house advantage

Adjustable distributed game strategy modeling platform

🚀 Master War Thunder with advanced tactics, weak spots, and combat strategies. Complete guide for Ground, Air, and Naval battles with SEO optimization.