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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Intelligent Databases Technologies And Applications
Authors: Zongmin Ma
1st Edition
1599041219, 978-1599041216
