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The notation Result(s, a) typically represents the state resulting from performing action a in state s. In Markov Decision Processes (MDPs) and reinforcement learning, the function Result is often used to describe the transition dynamics of the system. More formally, Result(s, a) gives the next state that the system will transition to when action a is taken in the current state s. This function encapsulates the idea of how the system evolves over time based on the actions taken in different states.

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