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What is 'discount factor' in reinforcement learning?

Practice Questions

Q1
What is 'discount factor' in reinforcement learning?
  1. A measure of the agent's performance
  2. A value that determines the importance of future rewards
  3. A method for clustering actions
  4. A technique for data normalization

Questions & Step-by-Step Solutions

What is 'discount factor' in reinforcement learning?
  • Step 1: Understand that in reinforcement learning, an agent learns by receiving rewards for its actions.
  • Step 2: Realize that some rewards come immediately after an action, while others come later.
  • Step 3: The discount factor is a number between 0 and 1 that helps decide how much to value future rewards.
  • Step 4: A discount factor close to 0 means the agent cares more about immediate rewards than future ones.
  • Step 5: A discount factor close to 1 means the agent values future rewards almost as much as immediate ones.
  • Step 6: The discount factor influences the agent's decisions on which actions to take to maximize its total rewards.
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