10 Questions
What is meant by an agent 'learning' in the context of Artificial Intelligence?
Improving its performance on future tasks after making observations about the world
What type of learning involves someone giving examples and the right answer for those examples?
Supervised learning
What is the goal of the agent in reinforcement learning?
To learn from a series of reinforcements—rewards or punishments
What is an example of a clustering task in unsupervised learning?
Developing a concept of 'good traffic days' and 'bad traffic days'
What is the term for the process of improving performance on future tasks after making observations about the world?
Learning
What type of learning involves finding patterns in the data without any explicit feedback?
Unsupervised learning
What is an example of supervised learning?
An agent learning to become a taxi driver through labeled examples
What is the common supervised learning task of Classification?
Classification
What type of learning involves taking actions and getting rewards or punishments?
Reinforcement learning
What is an example of unsupervised learning?
A taxi agent developing a concept of 'good traffic days' and 'bad traffic days'
Study Notes
Agents that Learn from Experience
- An agent is learning if it improves its performance on future tasks after making observations about the world.
Types of Learning
Supervised Learning
- Agent learns from examples with correct answers
- Goal is to predict correct answers for unseen examples
- Examples: input-output pairs with teacher-provided outputs
- Common task: Classification
Unsupervised Learning
- Agent learns patterns in input without explicit feedback
- Goal is to find patterns in data
- Examples: clustering, detecting useful patterns (e.g. "good traffic days" and "bad traffic days")
- Common task: Clustering
Reinforcement Learning
- Agent learns from series of rewards or punishments
- Goal is to learn which actions lead to high rewards
- Examples: receiving a tip or not, winning a chess game
- Agent decides which actions prior to reinforcement were most responsible
This quiz covers the concept of agents in artificial intelligence that improve their behavior through learning from their experiences. It involves understanding how agents learn from observations and improve their performance on future tasks.
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