Question 13
Domain 1: Describe AI workloads and considerationsWhich of the following is an example of reinforcement learning?
Correct answer: A
Explanation
Reinforcement learning trains an agent by having it learn from rewards and penalties while interacting with an environment. A "game-playing AI" fits this model because it can improve its strategy through repeated play and feedback on winning or losing.
Why each option is right or wrong
A. Training a game-playing AI
Reinforcement learning is the paradigm in which an agent updates its policy from trial-and-error feedback, typically reward signals, while interacting with an environment. A game-playing AI is the classic example because it can receive positive or negative outcomes after moves or episodes and use that feedback to improve future decisions over repeated play.
B. Classifying images
C. Clustering customer data
D. Predicting stock prices