Principles and Types of Reinforcement Quiz
Explore principles of reinforcement learning & types. Test your knowledge with questions on algorithms, concepts, and applications.
#1
Which of the following is a type of reinforcement learning?
Supervised Learning
Unsupervised Learning
Reinforcement Learning
None of the above
#2
What is the main goal of reinforcement learning?
To classify data
To minimize errors
To maximize a reward signal
To identify patterns in data
#3
In reinforcement learning, what does the agent learn from?
Rewards or penalties
Training data
User inputs
None of the above
#4
What is positive reinforcement in operant conditioning?
Adding a stimulus to increase a behavior
Removing a stimulus to increase a behavior
Adding a stimulus to decrease a behavior
Removing a stimulus to decrease a behavior
#5
What is the difference between reinforcement learning and supervised learning?
Supervised learning uses labeled data, while reinforcement learning does not.
Reinforcement learning uses labeled data, while supervised learning does not.
Both use labeled data but for different purposes.
Neither uses labeled data.
#6
What is continuous reinforcement?
Reinforcing a behavior every time it occurs
Reinforcing a behavior after a fixed number of occurrences
Reinforcing a behavior after a variable number of occurrences
Reinforcing a behavior only some of the time
#7
Which of the following is an example of a reinforcement learning algorithm?
Linear Regression
Decision Tree
Q-Learning
K-Means Clustering
#8
Which of the following is an example of negative reinforcement?
Praising a student for good behavior
Giving a bonus for achieving a sales target
Taking away chores for completing homework
Stopping a loud noise when a seatbelt is fastened
#9
In reinforcement learning, what is an 'environment'?
The set of all possible states the agent can be in
The set of actions the agent can take
The set of rewards the agent can receive
The set of all possible interactions between the agent and its surroundings
#10
What is extinction in operant conditioning?
When a conditioned response is weakened or eliminated
When a conditioned response is strengthened
When a conditioned response is generalized to other stimuli
When a conditioned response is initially learned
#11
In reinforcement learning, what is the 'policy' of an agent?
The set of all possible states the agent can be in
The set of actions the agent can take
The set of rewards the agent can receive
The strategy that the agent uses to determine its actions
#12
What is the concept of temporal credit assignment in reinforcement learning?
It refers to the process of assigning credit to actions based on their long-term impact on rewards.
It refers to the process of assigning credit to actions based on their short-term impact on rewards.
It refers to the process of assigning credit to actions based on their immediate impact on rewards.
It refers to the process of assigning credit to actions based on their random impact on rewards.
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