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In reinforcement learning, an agent learns by:
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Subject
Computer Science
Topic
Artificial Intelligence
Subtopic
Machine Learning
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hard
Compressing images
Memorizing labeled examples
Sorting data
Receiving rewards or penalties from interacting with an environment
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Explanation
Reinforcement learning trains an agent to maximize cumulative reward through trial-and-error interaction with its environment.…
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Concept Behind This Question
This question focuses on the concept of Machine Learning under the broader topic of Artificial Intelligence.
Related key concepts: artificial intelligence, machine-learning.
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Artificial Intelligence
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Question Details
- Subject:
- Computer Science
- Topic:
- Artificial Intelligence
- Subtopic:
- Machine Learning
- Difficulty:
- hard
- Source:
- Russell Norvig Artificial Intelligence A Modern Approach 4th Ed Ch.22
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