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» Knowledge-Based Formulation of Dynamic Decision Models
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AI
2008
Springer
13 years 5 months ago
Reachability analysis of uncertain systems using bounded-parameter Markov decision processes
Verification of reachability properties for probabilistic systems is usually based on variants of Markov processes. Current methods assume an exact model of the dynamic behavior a...
Di Wu, Xenofon D. Koutsoukos
ICCAD
2002
IEEE
149views Hardware» more  ICCAD 2002»
14 years 2 months ago
Battery-aware power management based on Markovian decision processes
- This paper addresses the problem of maximizing capacity utilization of the battery power source in a portable electronic system under latency and loss rate constraints. First, a ...
Peng Rong, Massoud Pedram
IOR
2008
105views more  IOR 2008»
13 years 5 months ago
The Stochastic Knapsack Revisited: Switch-Over Policies and Dynamic Pricing
The stochastic knapsack has been used as a model in wide ranging applications from dynamic resource allocation to admission control in telecommunication. In recent years, a variat...
Grace Y. Lin, Yingdong Lu, David D. Yao
EOR
2006
90views more  EOR 2006»
13 years 5 months ago
A parallelizable dynamic fleet management model with random travel times
In this paper, we present a stochastic model for the dynamic fleet management problem with random travel times. Our approach decomposes the problem into time-staged subproblems by...
Huseyin Topaloglu
AAAI
1997
13 years 6 months ago
Incremental Methods for Computing Bounds in Partially Observable Markov Decision Processes
Partially observable Markov decision processes (POMDPs) allow one to model complex dynamic decision or control problems that include both action outcome uncertainty and imperfect ...
Milos Hauskrecht