AI Learns Balance: Evolutionary Algorithms at Play

This article dives into the fascinating world of how AI can learn complex tasks like maintaining balance. It highlights the use of a genetic algorithm, a brilliant technique inspired by natural evolution, to train a neural network to control a robot.

• •The AI uses a simple 3-layer neural network to process sensor inputs and control the robot.
• •A genetic algorithm, mimicking biological evolution, is employed to evolve the neural network's 'weights'.
• •The fitness function rewards the robot for staying upright, guiding the AI's learning process through trial and error.