thesis
Optimal cost indefinite-horizon reachability in goal DEC-POMDPs
IST Austria Technical Report
published
1
Anonymous
author
2
Anonymous
author
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.
https://research-explorer.app.ist.ac.at/download/5434/5475/IST-2015-326-v1+1_main.pdf
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https://research-explorer.app.ist.ac.at/download/5434/6317/IST-2015-326-v1+2_authors.txt
text/plain
IST Austria2015
eng
2664-1690
16
Anonymous 1, Anonymous 2. <i>Optimal Cost Indefinite-Horizon Reachability in Goal DEC-POMDPs</i>. IST Austria; 2015.
Anonymous, 1, and 2 Anonymous. <i>Optimal Cost Indefinite-Horizon Reachability in Goal DEC-POMDPs</i>. IST Austria, 2015.
1 Anonymous, 2 Anonymous, Optimal Cost Indefinite-Horizon Reachability in Goal DEC-POMDPs, IST Austria, 2015.
Anonymous, 1, and 2 Anonymous. <i>Optimal Cost Indefinite-Horizon Reachability in Goal DEC-POMDPs</i>. IST Austria, 2015.
Anonymous, 1, & Anonymous, 2. (2015). <i>Optimal cost indefinite-horizon reachability in goal DEC-POMDPs</i>. IST Austria.
1 Anonymous and 2 Anonymous, <i>Optimal cost indefinite-horizon reachability in goal DEC-POMDPs</i>. IST Austria, 2015.
Anonymous 1, Anonymous 2. 2015. Optimal cost indefinite-horizon reachability in goal DEC-POMDPs, IST Austria, 16p.
54342018-12-12T11:39:18Z2020-07-14T23:04:59Z