(Reinforcement Learning): In reinforcement learning, the value is the expected long-term reward that the agent will achieve for an outcome compared to the short-term reward. The value function specifies what the total reward value should be for a particular state. For example, if an agent is trying to find a solution to a maze, the value function would specify the reward in points in terms of the number of steps to the solution.
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