AI-Arena

This fighting game confronts two fighters with each playing either as a human player, a classic AI design or a Reinforcement Learning agent. As a player you can choose an agent you would like to fight or you can simply watch those agents fight against each other as a spectator. 

With this project I want to test the Reinforcement Learning development in games.

I created the classic ai design using a Utility-Based System approach and used this AI to train the RL Agent using Unity ML Agents.

This game was created at the Game Design//UE Department of the University of Europe for Applied Sciences. Supervised by: Prof. Florian Berger and Kevin Hagen "Bachelor Project" (WinterSemester 2020/21)