<jupyter_start><jupyter_text>Partially Observable Markov decision processes (POMDPs)This Jupyter notebook acts as supporting material for POMDPs, covered in **Chapter 17 Making Complex Decisions** of the book* Artificial Intelligence: A Modern Approach*. We make use of the implementations of POMPDPs in mdp.py module. This notebook has been separated from the notebook `mdp.py` as the topics are considerably more advanced.**Note that it is essential to work through and understand the mdp.ipynb notebook before diving into this one.**Let us import everything from the mdp module to get started.<jupyter_code>from mdp import *
from notebook import psource, pseudocode<jupyter_output><empty_output>
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