Question

Janelle is training an AI-powered model car to stay on an oval track drawn on the floor. The car drives in different directions and is scored by the training algorithm based on how closely the car stays on the track. What kind of learning model is Janelle's car using?

a. Reinforcement learning
b. Unsupervised learning
c. Dataset learning
d. Supervised learning

Answer 1

Janelle's car is using reinforcement learning to stay on the track.

Step-by-step explanation:

Janelle's car is using reinforcement learning to train the AI-powered model car to stay on the oval track. Reinforcement learning is a type of machine learning where an agent learns to take actions in an environment to maximize a reward signal. In this case, the car is driving in different directions and its performance is scored based on how closely it stays on the track. The training algorithm uses this feedback to improve the car's performance and make it stay on the track more effectively.