Reinforcement Learning, Deep Learning, Machine Learning, Neural Networks, Algorithms.
expected utility of taking action a, in state s, and following the optimal policy thereafter. The algorithm uses an iterative process to update the Q-values of each state-action pair based on the observed rewards received from the environment. The updates are made using the Bellman equation, which