Recognition: unknown
Approximate Planning for Factored POMDPs using Belief State Simplification
classification
💻 cs.AI
keywords
factoredplanningpomdpsbeliefsimplificationstateaccuracy-efficiencyalgorithm
read the original abstract
We are interested in the problem of planning for factored POMDPs. Building on the recent results of Kearns, Mansour and Ng, we provide a planning algorithm for factored POMDPs that exploits the accuracy-efficiency tradeoff in the belief state simplification introduced by Boyen and Koller.
This paper has not been read by Pith yet.
discussion (0)
Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.