Question: The reward function for a Markov Decision Process is defined as R(s,a,s') = reward for when action a in state s leads to state s'

The reward function for a Markov Decision Process is defined as R(s,a,s') = reward for when action a in state s leads to state s'

If the state space consists of 3 states and the action space has 4 actions, how many possible inputs are there to the reward function?

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