Robot Learning / Reinforcement Learning

Reinforcement and imitation learning let robots acquire behaviours from rewards, demonstrations and experience instead of explicit programming.

Writing controllers by hand is slow for complex tasks. Learning finds policies from data or simulation.

Learning-based controllers now run legged robots, dexterous hands and manipulators, and underpin robot foundation models.