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...
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...
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...
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...
Partially observable Markov decision process (POMDP) is commonly used to model a stochastic environment with unobservable states for supporting optimal decision making. Computing ...