Planning for multiple measurement channels in a continuous-state POMDP

@article{Lauri2013PlanningFM,
  title={Planning for multiple measurement channels in a continuous-state POMDP},
  author={Mikko Lauri and Risto Ritala},
  journal={Annals of Mathematics and Artificial Intelligence},
  year={2013},
  volume={67},
  pages={283-317}
}
Continuous-state partially observable Markov decision processes (POMDPs) are an intuitive choice of representation for many stochastic planning problems with a hidden state. We consider a continuous-state POMDPs with finite action and observation spaces, where the POMDP is parametrised by weighted sums of Gaussians, or Gaussian mixture models (GMMs). In… CONTINUE READING