Uncertainty in Artificial Intelligence
First Name   Last Name   Password   Forgot Password   Log in!
    Proceedings   Proceeding details   Article details         Authors         Search    
Dynamic programming in in uence diagrams with decision circuits
Ross Shachter, Debarun Bhattacharjya
Abstract:
Decision circuits perform efficient evaluation of influence diagrams, building on the ad- vances in arithmetic circuits for belief net- work inference [Darwiche, 2003; Bhattachar- jya and Shachter, 2007]. We show how even more compact decision circuits can be con- structed for dynamic programming in influ- ence diagrams with separable value functions and conditionally independent subproblems. Once a decision circuit has been constructed based on the diagram's "global" graphical structure, it can be compiled to exploit "lo- cal" structure for efficient evaluation and sen- sitivity analysis.
Keywords:
Pages: 509-516
PS Link:
PDF Link: /papers/10/p509-shachter.pdf
BibTex:
@INPROCEEDINGS{Shachter10,
AUTHOR = "Ross Shachter and Debarun Bhattacharjya",
TITLE = "Dynamic programming in in uence diagrams with decision circuits",
BOOKTITLE = "Proceedings of the Twenty-Sixth Conference Annual Conference on Uncertainty in Artificial Intelligence (UAI-10)",
PUBLISHER = "AUAI Press",
ADDRESS = "Corvallis, Oregon",
YEAR = "2010",
PAGES = "509--516"
}


hosted by DSL   •   site info   •   help