Multi-Objective Markov Decision Processes for Decision Support

author: Dan Lizotte, Department of Computer Science, University of Western Ontario
published: July 28, 2015,   recorded: June 2015,   views: 65
Categories

Slides

Related Open Educational Resources

Related content

Report a problem or upload files

If you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.
Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.
Lecture popularity: You need to login to cast your vote.
  Bibliography

Description

We present a new data analysis framework, Multi-Objective Markov Decision Processes for Decision Support, for developing sequential decision support systems. The framework extends the MultiObjective Markov Decision Process with the ability to provide support that is tailored to different decisionmakers with different preferences about which objectives are most important to them. We present an extension of fitted-Q iteration for multiple objectives that can compute recommended actions in this context; in doing so we identify and address several conceptual and computational challenges. Finally, we demonstrate how our model could be applied to provide decision support for choosing treatments for schizophrenia using data from the Clinical Antipsychotic Trials of Intervention Effectiveness.

See Also:

Download slides icon Download slides: rldm2015_lizotte_decision_support_01.pdf (3.4┬áMB)


Help icon Streaming Video Help

Link this page

Would you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !

Write your own review or comment:

make sure you have javascript enabled or clear this field: