Work Description

Title: Dataset of test instances of Markov decision processes with multiple models Open Access Deposited

http://creativecommons.org/licenses/by-nc/4.0/
Attribute Value
Methodology
  • We used Python and C++ scripts to generate problem instances of Markov decision process with multiple models of parameters.
Description
  • This repository includes test instances of infinite-horizon Markov decision processes with multiple models of parameters (i.e., "Multi-model Markov decision processes"). We generated each test instance in the dataset using a Python script. The test instances can be read in using the provided C++ and Python script. See the README for details.
Creator
Depositor
  • vahluw@umich.edu
Contact information
Discipline
Funding agency
  • National Science Foundation (NSF)
Keyword
Citations to related material
  • Ahluwalia, Steimle, and Denton. "Policy-based branch-and-bound for infinite-horizon Multi-model Markov decision processes". 2020.
Resource type
Last modified
  • 01/24/2020
Published
  • 01/24/2020
Language
DOI
License
To Cite this Work:
Ahluwalia, V., Steimle, L., Denton, B. (2020). Dataset of test instances of Markov decision processes with multiple models [Data set]. University of Michigan - Deep Blue. https://doi.org/10.7302/2frp-2m36

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