Game AI: Non-Human Behavior Part 5

This is part 5 of a series on Game AI for Non-Human Behavior. Here's what you might have missed! Part 1: Defining "Game AI" and "Non-Human Behavior" Part 2: Making Decisions, Predators and Prey Part 3: Weird Inspirations from Nature Part 4: Modes of Hunting Part 5 will be a deep dive into sensory input, and resulting behaviors. Source: Atari In 2015 there was an article published in nature that used Atari 2600 games to explore Reinforcement Learning in AI. Reinforcement Learning is the process of allowing AI to explore different options and learn behavior through a reward system, as opposed to Supervised Learning where AI performing sub-optimal behavior is explicitly corrected.