A Survey of POMDP Applications
Anthony R. Cassandra · 2003
An increasing number of researchers in many areas are becoming interested in the application of the partially observable Markov decision process (POMDP) model to problems with hidden state. This model can account for both state transition and observation uncertainty. The majority of recent research interest in the pomdp model has been in the artificial intelligence community and as such, has been applied in a limited range of domains. The main purpose of this paper is show the wider applicability of the model by way of surveying the potential application areas for POMDPs.