Artificial Intelligence & Machine Learning
Identify the correct definition of Reinforcement learning.
- A. A supervised learning task that predicts a continuous numerical value.
- B. A modeling error where a model learns the training data too well, including noise, and performs poorly on new data.
- C. A computing model inspired by the human brain, composed of interconnected layers of nodes.
- D. A machine learning approach where an agent learns to make decisions by receiving rewards or penalties. ✓
Correct answer
D. A machine learning approach where an agent learns to make decisions by receiving rewards or penalties.
Explanation
Reinforcement learning refers to a machine learning approach where an agent learns to make decisions by receiving rewards or penalties.