---
res:
bibo_abstract:
- DEC-POMDPs extend POMDPs to a multi-agent setting, where several agents operate
in an uncertain environment independently to achieve a joint objective. DEC-POMDPs
have been studied with finite-horizon and infinite-horizon discounted-sum objectives,
and there exist solvers both for exact and approximate solutions. In this work
we consider Goal-DEC-POMDPs, where given a set of target states, the objective
is to ensure that the target set is reached with minimal cost. We consider the
indefinite-horizon (infinite-horizon with either discounted-sum, or undiscounted-sum,
where absorbing goal states have zero-cost) problem. We present a new method to
solve the problem that extends methods for finite-horizon DEC- POMDPs and the
RTDP-Bel approach for POMDPs. We present experimental results on several examples,
and show our approach presents promising results.@eng
bibo_authorlist:
- foaf_Person:
foaf_givenName: '1'
foaf_name: Anonymous, 1
foaf_surname: Anonymous
- foaf_Person:
foaf_givenName: '2'
foaf_name: Anonymous, 2
foaf_surname: Anonymous
dct_date: 2015^xs_gYear
dct_isPartOf:
- http://id.crossref.org/issn/2664-1690
dct_language: eng
dct_publisher: IST Austria@
dct_title: Optimal cost indefinite-horizon reachability in goal DEC-POMDPs@
...