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» Sequential Decision Making Under Uncertainty
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UAI
2004
15 years 3 months ago
Using Arguments for Making Decisions: A Possibilistic Logic Approach
Humans currently use arguments for explaining choices which are already made, or for evaluating potential choices. Each potential choice has usually pros and cons of various stren...
Leila Amgoud, Henri Prade
123
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ICMLA
2009
14 years 11 months ago
Sensitivity Analysis of POMDP Value Functions
In sequential decision making under uncertainty, as in many other modeling endeavors, researchers observe a dynamical system and collect data measuring its behavior over time. The...
Stéphane Ross, Masoumeh T. Izadi, Mark Merc...
DATE
2008
IEEE
101views Hardware» more  DATE 2008»
15 years 8 months ago
Resilient Dynamic Power Management under Uncertainty
With the increasing levels of variability and randomness in the characteristics and behavior of manufactured nanoscale structures and devices, achieving performance optimization u...
Hwisung Jung, Massoud Pedram
AAAI
2008
15 years 4 months ago
A Variance Analysis for POMDP Policy Evaluation
Partially Observable Markov Decision Processes have been studied widely as a model for decision making under uncertainty, and a number of methods have been developed to find the s...
Mahdi Milani Fard, Joelle Pineau, Peng Sun
AAAI
2006
15 years 3 months ago
Compact, Convex Upper Bound Iteration for Approximate POMDP Planning
Partially observable Markov decision processes (POMDPs) are an intuitive and general way to model sequential decision making problems under uncertainty. Unfortunately, even approx...
Tao Wang, Pascal Poupart, Michael H. Bowling, Dale...