Adding text descriptions

As the last example of this chapter, we will add text descriptions of the problem into observations of our model. I have already mentioned that some problems contain vital information given in a text description, like the index of tabs needed to be clicked or the list of entries that the agent needs to check. The same information is shown on top of the image observation, but pixels are not always the best representation of simple text.

To take this text into account, we need to extend our model's input from an image only to an image and text data. We worked with text in the previous chapter, so a recurrent neural network (RNN) is quite an obvious choice (maybe not the best for such a toy problem, but it is flexible and scalable).

Implementation

I'm not going to cover this example in detail but will just focus on the most important points of the implementation. (The whole code is in Chapter16/wob_click_mm_train.py.) In comparison to our clicker...