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!
Hello @norvig and @MrDupin! Currently, we do not have an implementation and visualization of
vacuum agentsinagents.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
programand 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!