Current Simultaneous Neural Machine Translation (SNMT) systems (Satija and Pineau, 2016; Cho and Esipova, 2016; <cite>Gu et al., 2017)</cite> use an AGENT to control an incremental encoder-decoder (or sequence to sequence) NMT model. In this paper, we propose adding a new action to the AGENT: a PREDICT action that predicts what words might appear in the input stream.