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Advantage Function in Terms of Q-values and V-values
The advantage function, , defines the benefit of selecting a particular action in a state relative to the expected value of following the policy from that state onward. It is calculated as the difference between the action-value function (-value) for the specific state-action pair and the state-value function (-value) for that state. The formula is: A positive advantage indicates that the action is better than the expected policy outcome, while a negative advantage suggests it is worse.
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Ch.4 Alignment - Foundations of Large Language Models
Foundations of Large Language Models
Foundations of Large Language Models Course
Computing Sciences
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An agent is in a state
sand must choose between two actions:AandB. According to the agent's current policy, it chooses actionAwith a 70% probability and actionBwith a 30% probability. The expected total future reward for taking actionAfrom statesis +20. The expected total future reward for taking actionBfrom statesis -10. Based on this information, which of the following statements correctly describes the relationship between the value of being in statesand the values of taking each action?An agent is learning to navigate a complex environment. Match each of the following questions the agent might have with the type of value function that would most directly provide the answer.
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Advantage Function in Terms of Q-values and V-values
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An agent is in a state where the expected return, averaged over all possible actions according to its current policy, is 10. The agent is considering three specific actions. The expected return for taking the first action is 12, for the second is 8, and for the third is 10. Based on the advantage of each action, which of the following statements is the most accurate analysis?
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