DocumentCode
2888714
Title
Risk-sensitive methods in deception games
Author
Sridharan, Srinivas ; McEneaney, William M.
Author_Institution
Dept. of Mech. & Aerosp. Eng., Univ. of California, San Diego, CA, USA
fYear
2011
fDate
28-30 Sept. 2011
Firstpage
1571
Lastpage
1575
Abstract
We introduce the application of semi-field analysis to stochastic dynamic games of information. Such problems typically have a high curse-of-dimensionality; hence a method of managing this issue is developed by formulating the payoff function as a min-log sum whose structure is preserved. This technique is applied to a problem of deception and search with a risk-sensitive payoff function where the information is represented using a log-plus probability space.
Keywords
dynamic programming; risk management; stochastic games; curse-of-dimensionality; deception game; deception problem; information game; log-plus probability space; min-log sum; payoff function; risk-sensitive method; search problem; semifield analysis; stochastic dynamic game; Additives; Complexity theory; Cost function; Dynamic programming; Games; Optimal control; Stochastic processes;
fLanguage
English
Publisher
ieee
Conference_Titel
Communication, Control, and Computing (Allerton), 2011 49th Annual Allerton Conference on
Conference_Location
Monticello, IL
Print_ISBN
978-1-4577-1817-5
Type
conf
DOI
10.1109/Allerton.2011.6120355
Filename
6120355
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