Artificial Intelligence & Machine Learning
Identify the correct definition of Reinforcement learning.
Difficulty: Hard
About this MCQ
This Hard Artificial Intelligence & Machine Learning MCQ checks one syllabus fact.
The question is: “Identify the correct definition of Reinforcement learning.”
The accepted answer is D. A machine learning approach where an agent learns to make decisions by receiving rewards or penalties.. Identify the correct definition of Reinforcement learning is answered by A machine learning approach where an agent learns to make decisions by receiving rewards or penalties option D Option A A supervised learning task that predicts a continuous numerical value does not match the stem it is a near-miss used to catch incomplete recall of A machine learning approach where an agent learns to make decisions by receiving rewards or penalties Option B A modeling error where a model learns the training data too well including noise and performs poorly on new data does not match the stem it is a near-miss used to catch incomplete recall of A machine learning approach where an agent learns to make decisions by.
- A. A supervised learning task that predicts a continuous numerical value.
Why not A: “A supervised learning task that predicts a continuous numerical value.” is not correct. The accepted answer is D. A machine learning approach where an agent learns to make decisions by receiving rewards or penalties.. Identify the correct definition of Reinforcement learning is answered by A machine learning approach where an agent learns to make decisions by receiving rewards or penalties optio
- B. A modeling error where a model learns the training data too well, including noise, and performs poorly on new data.
Why not B: “A modeling error where a model learns the training data too well, including noise, and performs poorly on new data.” is not correct. The accepted answer is D. A machine learning approach where an agent learns to make decisions by receiving rewards or penalties.. Identify the correct definition of Reinforcement learning is answered by A machine learning approach where an agent learns to make decisions by receiving rewards or penalties optio
- C. A computing model inspired by the human brain, composed of interconnected layers of nodes.
Why not C: “A computing model inspired by the human brain, composed of interconnected layers of nodes.” is not correct. The accepted answer is D. A machine learning approach where an agent learns to make decisions by receiving rewards or penalties.. Identify the correct definition of Reinforcement learning is answered by A machine learning approach where an agent learns to make decisions by receiving rewards or penalties optio
- D. A machine learning approach where an agent learns to make decisions by receiving rewards or penalties. ✓
Correct answer
D. A machine learning approach where an agent learns to make decisions by receiving rewards or penalties.
Explanation
Identify the correct definition of Reinforcement learning is answered by A machine learning approach where an agent learns to make decisions by receiving rewards or penalties option D Option A A supervised learning task that predicts a continuous numerical value does not match the stem it is a near-miss used to catch incomplete recall of A machine learning approach where an agent learns to make decisions by receiving rewards or penalties Option B A modeling error where a model learns the training data too well including noise and performs poorly on new data does not match the stem it is a near-miss used to catch incomplete recall of A machine learning approach where an agent learns to make decisions by.
Source: Artificial Intelligence & Machine Learning Official Reference Guide
Tags: computer science, AI, machine learning, data science
Submitted by: MCQsHub Editorial
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