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What does the term 'environment' refer to in reinforcement learning?
What does the term 'environment' refer to in reinforcement learning?
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What does the term 'environment' refer to in reinforcement learning?
The dataset used for training
The external system the agent interacts with
The algorithm used for learning
The performance metrics
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The environment is the external system with which the agent interacts and receives feedback in the form of rewards.
Questions & Step-by-step Solutions
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Q: What does the term 'environment' refer to in reinforcement learning?
Solution:
The environment is the external system with which the agent interacts and receives feedback in the form of rewards.
Steps: 6
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Step 1: Understand that reinforcement learning involves an agent that learns to make decisions.
Step 2: Recognize that the agent operates in a setting or context, which is called the environment.
Step 3: The environment includes everything outside the agent that can affect its decisions.
Step 4: The agent interacts with the environment by taking actions.
Step 5: After taking an action, the agent receives feedback from the environment.
Step 6: This feedback is usually in the form of rewards or penalties, which help the agent learn.
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