What is an agent in reinforcement learning?
a) A system that provides rewards
b) A function that takes inputs
c) An entity that interacts with the environment and takes actions
d) A type of neural network
Answer:
c) An entity that interacts with the environment and takes actions
Explanation:
The agent is the learner in reinforcement learning. It takes actions based on the state of the environment and learns from the rewards or penalties received as feedback.
Reference:
Reinforcement Learning (RL) Quiz – MCQ Questions and Answers