
reinforcement learning
/ˌriːɪnˈfɔːrsmənt ˌlɜːrnɪŋ/
Learning through trial and error with rewards and penalties
“Reinforcement learning enabled the AI to master complex games.”
Origin: From Latin re- (again) + in- (in) + fortis (strong), meaning to strengthen again