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
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;
Conference_Titel :
Communication, Control, and Computing (Allerton), 2011 49th Annual Allerton Conference on
Conference_Location :
Monticello, IL
Print_ISBN :
978-1-4577-1817-5
DOI :
10.1109/Allerton.2011.6120355