Summary

Despite its simplicity, and the toy-like example in this chapter, seq2seq is a very widely used model in NLP and other domains, so the alternative RL approach could potentially be applicable to a wide range of problems. In this chapter, we've just scratched the surface of deep NLP models and ideas, which goes well beyond the scope of this book. We covered the basics of NLP models, such as RNN and the seq2seq model and different ways that it could be trained.

In the next chapter, we'll take a look at another example of the application of RL methods in another domain: automating web navigation tasks.