Machine Learning, Mdp, Markov Chains, Reinforcement Learning.
This function rewards an agent for taking the right actions and punishes (with negative rewards) for wrong actions. This can also be configured while modelling the environment. It’s usually written this way: R(s,s’): The reward for moving from state s to state s’. One more thing The purpose of the