This enhanced AI utilizes a neural network model implemented using TensorFlow/Keras for Q-value estimation. It's capable of handling high-dimensional state spaces and complex action spaces efficiently. The update_model method updates the neural network based on experience tuples (state, action, reward, next_state) using mini-batch training. Additionally, the choose_action method selects actions based on the Q-values predicted by the neural network.