Reinforcement Learning - Machine Learning Quiz

1. What is the primary goal of Reinforcement Learning?

To maximize rewards through interaction with the environment

To minimize errors in supervised learning tasks

To cluster data into distinct groups

To reduce dimensionality of the dataset

2. What does the agent in Reinforcement Learning represent?

The environment where learning occurs

The decision-maker that interacts with the environment

The goal or target state

The data used for training

3. What is the primary trade-off in Reinforcement Learning?

Exploration vs Exploitation

Accuracy vs Precision

Speed vs Complexity

Training time vs Memory usage

4. What is the reward in a Reinforcement Learning environment?

A penalty for incorrect actions

A scalar value representing the agent's success

The total number of steps taken

The distance to the goal

5. What happens when the exploration rate (ε) is high?

The agent focuses on exploiting known paths

The agent explores new paths more frequently

The agent minimizes the total reward

The agent reduces the number of steps taken

6. Which real-world application uses Reinforcement Learning?

Spam email classification

Content recommendation on platforms like Netflix

Image segmentation in medical diagnosis

Principal Component Analysis (PCA)

7. What is the primary difference between exploration and exploitation in RL?

Exploration involves trying new actions, while exploitation uses the best-known actions

Exploitation always results in the highest reward

Exploration is used in supervised learning, and exploitation is used in unsupervised learning

Exploration minimizes rewards, and exploitation maximizes penalties

Quiz 9: Reinforcement Learning