Artificial Intelligence, Reinforcement Learning, Machine Learning, Neural Networks, Markov Chains.
reward the agent can extract from the environment starting from state, s while executing action, a. The absolutely optimal policy can be derived from maximizing the q*(s, a) value. Once we solve the optimal state-action value function, we can decipher which action to take, outputting the most