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» Real-Time Decision Making for Large POMDPs
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AI
2005
Springer
13 years 11 months ago
Real-Time Decision Making for Large POMDPs
Abstract. In this paper, we introduce an approach called RTBSS (RealTime Belief Space Search) for real-time decision making in large POMDPs. The approach is based on a look-ahead s...
Sébastien Paquet, Ludovic Tobin, Brahim Cha...
WSC
2007
13 years 8 months ago
Determining efficient simulation run lengths for real time decision making
Suppose that there are a number of alternative ways of operating a system, and a performance measure is available for comparing them. Simulation runs can be carried out to estimat...
Russell C. H. Cheng
PKDD
2010
Springer
164views Data Mining» more  PKDD 2010»
13 years 3 months ago
Efficient Planning in Large POMDPs through Policy Graph Based Factorized Approximations
Partially observable Markov decision processes (POMDPs) are widely used for planning under uncertainty. In many applications, the huge size of the POMDP state space makes straightf...
Joni Pajarinen, Jaakko Peltonen, Ari Hottinen, Mik...
ENTCS
2007
158views more  ENTCS 2007»
13 years 5 months ago
Abstraction and Completeness for Real-Time Maude
ion and Completeness for Real-Time Maude Peter Csaba ¨Olveczky a,b and Jos´e Meseguer b a Department of Informatics, University of Oslo b Department of Computer Science, Universi...
Peter Csaba Ölveczky, José Meseguer
IAT
2005
IEEE
13 years 11 months ago
Decomposing Large-Scale POMDP Via Belief State Analysis
Partially observable Markov decision process (POMDP) is commonly used to model a stochastic environment with unobservable states for supporting optimal decision making. Computing ...
Xin Li, William K. Cheung, Jiming Liu