Reinforcement Learning
An agent acts, gets a reward, and improves a policy by trial and error — sequential decisions on a tiny grid on ExamMaster.
An agent acts, gets a reward, and improves a policy by trial and error — sequential decisions on a tiny grid on ExamMaster.