Problem Formulation: The hredGAN <cite>[7]</cite> formulates multi-turn dialogue response generation as: given a dialogue history of sequence of utterances, where T i is the number of generated tokens. The framework uses a conditional GAN structure to learn a mapping from an observed dialogue history to a sequence of output tokens.