Which of the following is TRUE?ASupervised Learning does not rely on labelling data while Unsupervised Learning doesBSupervised Learning trains an agent to form the best policy of actions in an environmentCReinforcement Learning uses rewards and discount to improve agent decision makingDUnsupervised Learning require huge amounts of data to work well
Question
Which of the following is TRUE?ASupervised Learning does not rely on labelling data while Unsupervised Learning doesBSupervised Learning trains an agent to form the best policy of actions in an environmentCReinforcement Learning uses rewards and discount to improve agent decision makingDUnsupervised Learning require huge amounts of data to work well
Solution
The statement "CReinforcement Learning uses rewards and discount to improve agent decision making" is TRUE.
Here's why:
A) Supervised Learning does rely on labeled data to train models, while Unsupervised Learning does not. So, this statement is FALSE.
B) Supervised Learning does not train an agent to form the best policy of actions in an environment. This is a characteristic of Reinforcement Learning. So, this statement is FALSE.
C) Reinforcement Learning does use rewards (positive or negative) to guide the learning process of an agent. The agent learns to make decisions by taking actions that maximize the cumulative reward over time. So, this statement is TRUE.
D) Unsupervised Learning does not necessarily require huge amounts of data to work well. It can work with small datasets too. So, this statement is FALSE.
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