Gal Cohensius

Game Algorithm Developer & Problem Solver

I specialize in developing intelligent AI agents for a variety of games.

My work includes developing agents for games like Spades, Gin Rummy, Contract Rummy, Domino, and Uno. I’ve also designed innovative solutions, such as an algorithm to measure the difficulty of Klondike-Solitaire levels and modular microservices like Elo rating systems and leaderboard services.

Additionally, I’ve applied machine learning techniques, including deep neural networks (DNN) and random forests, to predict player behavior, enabling a deeper understanding of their gaming experience and improving gameplay.

While I write most of my code in Java and Python, my focus is always on crafting elegant, efficient algorithms that solve complex challenges and elevate gameplay.

• My paper: Bidding in Spades.
• Notes on The Skill-Luck spectrum in games