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Which of the following best describes a “decision epoch” in Markov Decision Processes?
a) The state with the highest probability
b) A point in time when a decision must be made
c) The end of a Markov Chain
d) The calculation of steady-state probabilities
b) A point in time when a decision must be made
In a Markov Decision Process (MDP), a decision epoch refers to a point in time when a decision or action must be taken to determine the next state of the system. It is typically associated with the moments in the process where an agent has to choose between different actions, based on the current state.