Artificial Intelligence, Reinforcement Learning, Machine Learning, Neural Networks, Markov Chains.
the state space, A refers to the finite range of actions, P is the state transition probability function. These are extensions of the Markov Reward Process since this contains decisions the agent is required to make. R represents the reward function: γ represents the discount factor ∈[0,1] These