Neuroevolution is a type of AI learning that combines neural networks and evolutionary algorithms. Neuroevolution algorithms evolve neural networks over generations, adapting them to solve specific tasks. This approach is used in robotics, autonomous vehicles, and games.
Reinforcement Learning is a branch of AI that focuses on training agents to make decisions through trial and error in a specific environment. By…