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What does the term 'environment' refer to in reinforcement learning?

Practice Questions

Q1
What does the term 'environment' refer to in reinforcement learning?
  1. The dataset used for training
  2. The external system the agent interacts with
  3. The algorithm used for learning
  4. The performance metrics

Questions & Step-by-Step Solutions

What does the term 'environment' refer to in reinforcement learning?
  • 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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