Reinforcement Learning MCQ Questions
This section focuses on "Reinforcement Learning" in Artificial Intelligence. These Multiple Choice Questions (MCQs) should be practiced to improve the AI skills required for various interviews (campus interviews, walk-in interviews, company interviews), placements, entrance exams and other competitive examinations.
1. _________________ is a type of machine learning in which an agent learns to make decisions by interacting with an environment.
A. Supervised learning
B. Reinforcement learning
C. Semi-supervised learning
D. Unsupervised learning
View Answer
Ans : B
Explanation: Reinforcement learning is a type of machine learning in which an agent learns to make decisions by interacting with an environment.
2. Which of the following are applications of Reinforcement learning?
A. Robotics
B. video games
C. self-driving cars
D. All of the above
View Answer
Ans : D
Explanation: All of the above are applications of Reinforcement learning.
3. Reinforcement learning is an area of ___________.
A. Artifical Intelligance
B. Data Analytics
C. Machine Learning
D. None of the above
View Answer
Ans : C
Explanation: Reinforcement learning is an area of Machine Learning.
4. In Reinforcement learning decision is dependent, So we give labels to sequences of dependent decisions.
A. TRUE
B. FALSE
C. Can be true or false
D. Can not say
View Answer
Ans : A
Explanation: True, In Reinforcement learning decision is dependent, So we give labels to sequences of dependent decisions.
5. How many types of Reinforcement there?
A. 1
B. 2
C. 3
D. 4
View Answer
Ans : B
Explanation: There are two types of Reinforcement : Positive AND Negative.
6. _________________ is defined as when an event, occurs due to a particular behavior, increases the strength and the frequency of the behavior.
A. Positive Reinforcement
B. Negative Reinforcement
C. Both A and B
D. None of the above
View Answer
Ans : A
Explanation: Positive Reinforcement is defined as when an event, occurs due to a particular behavior, increases the strength and the frequency of the behavior.
7. Which type of feedback does an agent in reinforcement learning receive?
A. Predictions
B. Labels
C. Clusters
D. Rewards or penalties
View Answer
Ans : D
Explanation: Rewards or penalties an agent in reinforcement learning receive
8. ______________ is the Q-learning algorithm used for in reinforcement learning.
A. Image recognition
B. Clustering
C. Finding the optimal decision-making strategy
D. Natural language processing
View Answer
Ans : C
Explanation: Finding the optimal decision-making strategy is the Q-learning algorithm used for in reinforcement learning..
9. Which of the following are Advantages of reinforcement learning?
A. Maximizes Performance
B. Sustain Change for a long period of time
C. Too much Reinforcement can lead to an overload of states which can diminish the results
D. All of the above
View Answer
Ans : D
Explanation: All of the above are Advantages of reinforcement learning.
10. In Reinforcement learning, the decision is made on the initial input or the input given at the start
A. TRUE
B. FALSE
C. Can be true or false
D. Can not say
View Answer
Ans : B
Explanation: Reinforcement learning is all about making decisions sequentially. In simple words, we can say that the output depends on the state of the current input and the next input depends on the output of the previous input
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