To demonstrate this approach, we use a recurrent neural network (RNN) architecture as the CLM in combination with the reinforcement learning (RL) strategy proposed by REINVENT, for comparative purposes. We endeavoured to follow the guidelines outlined by the baseline method for each experiment with regard to RNN architecture and training, for further detail see A.