Artificial Intelligence, Reinforcement Learning, Machine Learning, Neural Networks, Markov Chains.
represents the maximum value function across all policies. This explains the maximum possible reward the agent cane extract from its environment. Meanwhile, the optimal action-value function, denoted q*(s,a) represents the maximum action-value function across all policies. This explains the maximum