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