… Instead, we employ a continuous POMDP solver that learns a good representation of the …
directed driving behaviors as a continuous POMDP. We employ a continuous POMDP solver [3] …

… space and continuous time. We consider the problem of optimal decision making in such …
description for simultaneous decision making and filtering in continuous time with finite state …

… optimal decision making in Dec-POMDPs (because it is not geared to ensure the separability
of the joint policy). Second, a belief state defines a time-invariant statistic, ie, the dimension …

… application of decision-making on a … continuous POMDP, which meets all the requirements
defined in Section 1.2.1. By solving this POMDP formulation for a specific situation, decisions …

… In the continuous version we will discuss here, the decision maker has access to … continuous
horizontal dimension (from the far left to the far right). At each time step, the decision maker …

… The goal of our experiments is to validate the use of GPDMs for online model identification
and state estimation combined with a planning algorithm for online decisionmaking. The …

… We also develop a projection particle filter for online filtering and decision making, by …
Section II describes the formulation of a continuous-state POMDP and its transformation to a …

… This paper proposes a solution to solve POMDPs in fully continuous environments based …
-myopic decision making under uncertainty when the state is not directly observable. POMDPs …

… Another approach for solving continuous POMDPs online is MCTS-DPW on the equivalent
belief MDP using particle filters to approximate the generative model. This new approach will …

… is more difficult and more complex decision making is required. Somewhat surprisingly, at P
f … are too noisy to be exploited for effective decision making. This results in a simple, but very …