Popular GitHub Repositories for Enemy Territory

Automated HQ Texture Upscaling with ESRGAN and Python scripts, including HQ Alpha channel resize

Implementation of Q-Learning using TD error to navigate a maze avoiding obstacles and a moving enemy

:video_game: ?? :gun: Intelligent opponents (enemy AI) in Unity using a Finite State Machine (FSM) approach.

See a full, end to end implementation of an enemy AI with 4 attacks using a Behavior Tree framework, AI Tree.

Stealth Temple: Game with Multi-Agent, Behaviour-oriented Enemy Artificial Intelligence (Bachelor Thesis)

Simulate real-time drone interception with advanced A* pathfinding! Solve massive-scale mazes in milliseconds. Optimized for precision, speed, and scalability—powered by theoretical satellite tracking and enemy mapping. Built in Java for mission-grade performance.

My research at creating enemy agents for serious games using reinforcement learning and neural networks

Our rendition of the survival shooter game, Crimsonland, with 6 different types of enemies and two variations for each of them. Final project for Building Game AI (CSC 584) at NC State, Fall '16.

An easy-to-integrate Unity FSM for basic enemy AI behaviors, utilizing ScriptableObject for customizable and reusable AI states like Idle, Chase, and Attack.

This game is powered by a new custom hybrid AI algorithm designed and implemented by me, combining multiple existing AI techniques into a novel decision-making system for enemy agents. It was originally developed as part of my undergraduate thesis in 2016, and now restructured for commercial and educational presentation.