Reinforcement Learning, Deep Learning, Machine Learning, Neural Networks, Algorithms.
the quality of different actions in different states. By learning the Q function, the agent can then choose actions that maximize the expected long-term reward, which is the goal of many reinforcement learning tasks. The Q function is often represented as a table or a function approximator, such as