What is the name of the value function that estimates the total reward an agent can expect to collect from a given state-action pair in Reinforcement Learning?
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Q-function
The Q-function (or Action-Value function) is central to Q-learning. It represents the quality of a specific action in a specific state, allowing the agent to follow a policy that maximizes the expected cumulative future reward.
Also asked as:
- In Reinforcement Learning, what function represents the quality of a specific action taken in a specific state?