Attention, Dialogue, and Learning Reusable Patterns

Rasa Core is an open source machine learning-based dialogue system for building level 3 contextual AI assistants. In version 0.11, we shipped our new embedding policy (REDP), which is much better at dealing with uncooperative users than our standard LSTM (Rasa users will know this as the KerasPolicy). We're presenting a paper on it at NeurIPS, and this post explains the problem that REDP solves and how it works. Our new dialogue model (REDP) outperforms our standard LSTM policies at dealing with uncooperative users. These plots are explained in more detail below. The hard thing about building a good AI assistant is dealing with the infinite ways that your users stray from the happy path.