Hello @norvig and @MrDupin! Currently, we do not have an implementation and visualization of vacuum agents in agents.ipynb.
I am planning to add and show the working of all the vacuum agents we have in agents.py: Random-Vacuum-Agent, Model-Based-Vacuum-Agent, Table-Driven-Vacuum-Agent, Table-Driven-Agent, Reflex-Vacuum-Agent, Simple-Reflex-Agent and Model-Based-Reflex-Agent. I will also focus on the structure of the agents as given in the book.
I will begin with a simple two-state environment along with explaining the working of each one's program and will then work out on expanding it to a two-dimensional environment.
Also, I think it would be better if we implement this complete topic in a separate notebook pertaining to vacuum agents itself (since the book follows this example): vacuum_world.ipynb.
I believe that this will be a prominent part of the notebook since it is the "building block" for agents. This notebook will also serve the purpose of an explanation for the agent module.
Please suggest!
Thanks!