Partially Observed Markov Decision Processes. Problem Sets and Internet Supplement
Vikram Krishnamurthy

TL;DR
This internet supplement provides exercises, examples, and case studies related to Partially Observed Markov Decision Processes, complementing the author's 2016 book, and is designed to be updated over time.
Contribution
It offers an evolving collection of practical exercises and case studies to enhance understanding of POMDPs beyond the original book.
Findings
Includes diverse exercises and case studies
Serves as an interactive supplement to the book
Intended for ongoing updates and community feedback
Abstract
This document is an internet supplement to my book "Partially Observed Markov Decision Processes - From Filtering to Controlled Sensing" published by Cambridge University Press in 2016. This internet supplement contains exercises, examples and case studies. The material appears in this internet supplement (instead of the book) so that it can be updated. This document will evolve over time and further discussion and examples will be added. This internet supplement document is work in progress and will be updated periodically. I welcome constructive comments from readers of the book and this internet supplement.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsSimulation Techniques and Applications · Distributed Sensor Networks and Detection Algorithms · Target Tracking and Data Fusion in Sensor Networks
