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» An Anytime Algorithm for Decision Making under Uncertainty
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ISIPTA
2005
IEEE
115views Mathematics» more  ISIPTA 2005»
14 years 1 months ago
Powerful algorithms for decision making under partial prior information and general ambiguity attitudes
This paper discusses decision making in the practically important situation where only partial prior information on the stochastic behavior of the states of nature expressed by im...
Lev V. Utkin, Thomas Augustin
SMC
2007
IEEE
116views Control Systems» more  SMC 2007»
14 years 1 months ago
Decision-making under severe uncertainty for autonomous mobile robots
— The field of robotics is on a growth curve, with most of the growth expected in the areas of personal and service robots. As robots become more prevalent in chaotic home and in...
Daniel Berleant, Gary T. Anderson
IJCAI
2003
13 years 9 months ago
Automated Generation of Understandable Contingency Plans
Markov decision processes (MDPs) and contingency planning (CP) are two widely used approaches to planning under uncertainty. MDPs are attractive because the model is extremely gen...
Max Horstmann, Shlomo Zilberstein
AAAI
2012
11 years 10 months ago
POMDPs Make Better Hackers: Accounting for Uncertainty in Penetration Testing
Penetration Testing is a methodology for assessing network security, by generating and executing possible hacking attacks. Doing so automatically allows for regular and systematic...
Carlos Sarraute, Olivier Buffet, Jörg Hoffman...
ISIPTA
2005
IEEE
161views Mathematics» more  ISIPTA 2005»
14 years 1 months ago
Decision making under incomplete data using the imprecise Dirichlet model
The paper presents an efficient solution to decision problems where direct partial information on the distribution of the states of nature is available, either by observations of ...
Lev V. Utkin, Thomas Augustin