Summary
In this chapter, you have seen how DQN can be applied to interactive fiction games, which is an interesting and challenging domain at the intersection of RL and NLP. You learned how to handle complex textual data with NLP tools and experimented with fun and challenging interactive fiction environments, with lots of opportunities for future practical experimentation. In addition, we used the transformer model from the Hugging Face library and experimented with ChatGPT.
In the next chapter, we will continue our exploration of “RL in the wild” and check the applicability of RL methods in web automation.
