Andrew G. Barto

Andrew G. Barto is a computer scientist and cognitive scientist known for his pioneering work in reinforcement learning, a type of machine learning where algorithms learn to make decisions by trial and error, receiving feedback through rewards or penalties. His research has significantly advanced artificial intelligence, enabling machines to learn complex behaviors over time. Barto's insights also draw on understanding how humans and animals learn, influencing both AI development and neuroscience. His work has earned widespread recognition for bridging theory and practical applications in automation, robotics, and intelligent systems.