77 citations · 121 across the 4 of their papers we have counts for
4 papers
Value-Directed Belief State Approximation for POMDPs
Pascal Poupart, Craig Boutilier
We consider the problem belief-state monitoring for the purposes of implementing a policy for a partially-observable Markov decision process (POMDP), specifically how one might app…
Value-Directed Sampling Methods for POMDPs
Pascal Poupart, Luis E. Ortiz, Craig Boutilier
We consider the problem of approximate belief-state monitoring using particle filtering for the purposes of implementing a policy for a partially-observable Markov decision process…
Vector-space Analysis of Belief-state Approximation for POMDPs
Pascal Poupart, Craig Boutilier
We propose a new approach to value-directed belief state approximation for POMDPs. The value-directed model allows one to choose approximation methods for belief state monitoring t…
Hierarchical POMDP Controller Optimization by Likelihood Maximization
Marc Toussaint, Laurent Charlin, Pascal Poupart
Planning can often be simpli ed by decomposing the task into smaller tasks arranged hierarchically. Charlin et al. [4] recently showed that the hierarchy discovery problem can be f…