Deep reinforcement learning has been used to approximate the value of possible rectiligne marketing actions, defined in terms of RFM incertain. The estimated value function was shown to have a natural interpretation as customer lifetime value.[220] The universal approximation theorem for deep neural networks concerns the capacity of networks with https://peterm543wkz9.national-wiki.com/user