aritificial intelligence, first person shooter, computer game, reinforcement learning
As graphics in modern computer games move closer to photorealism, the emphasis for game developers is switching towards improving the in-game Artificial Intelligence (AI). Traditional scripting and rule-based systems are being replaced by more intelligent and immer-sive approaches. The goal of AI in computer games is to create intelligent autonomous agents that mimic human behaviour as closely as possible, in order to create a challenging yet enjoyable experience for human players. This paper describes the application of Reinforcement Learning (RL), an approach inspired by how humans learn, to the creation of intelligent "bots " in a First Person Shooter (FPS) game.