Reinforcement Learning

ree-in-FORS-muhnt LER-ning /ˌriːɪnˈfɔːsmənt ˈlɜːnɪŋ/

A machine learning approach where an agent learns by trial and error. It takes actions, receives rewards or penalties, and gradually learns strategies that maximise reward. Reinforcement learning is used in robotics, games and optimisation problems. Source: https://www.digital.nsw.gov.au/policy/artificial-intelligence/a-common-understanding-simplified-ai-definitions-from-leading