Facilitating testing and debugging of Markov Decision Processes with interactive visualization

Markov Decision Process (MDP) simulators and optimization algorithms integrate several systems and functions that are collectively subject to failures of specification, implementation, integration, and optimization. We present a domain agnostic visual analytic design and implementation for testing a...

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Bibliographic Details
Published in2015 IEEE Symposium on Visual Languages and Human Centric Computing (VL HCC) pp. 281 - 282
Main Authors McGregor, Sean, Buckingham, Hailey, Dietterich, Thomas G., Houtman, Rachel, Montgomery, Claire, Metoyer, Ronald
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2015
Subjects
Computer bugs
Manuals
Visualization
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Summary:Markov Decision Process (MDP) simulators and optimization algorithms integrate several systems and functions that are collectively subject to failures of specification, implementation, integration, and optimization. We present a domain agnostic visual analytic design and implementation for testing and debugging MDPs: MDPVIS.
DOI:10.1109/VLHCC.2015.7357227