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In reinforcement learning, what is an 'agent'?
In reinforcement learning, what is an 'agent'?
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Practice Questions
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Q1
In reinforcement learning, what is an 'agent'?
A data point in a dataset
A model that predicts outcomes
An entity that takes actions in an environment
A method for evaluating performance
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An agent is the entity that interacts with the environment by taking actions to achieve a goal.
Questions & Step-by-step Solutions
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Q
Q: In reinforcement learning, what is an 'agent'?
Solution:
An agent is the entity that interacts with the environment by taking actions to achieve a goal.
Steps: 4
Show Steps
Step 1: Understand that reinforcement learning involves an environment where decisions are made.
Step 2: Identify that an 'agent' is the part of the system that makes choices.
Step 3: Recognize that the agent takes actions based on its observations of the environment.
Step 4: Learn that the goal of the agent is to achieve a specific objective or maximize rewards.
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