Not all agents are equal: Scaling up distributed POMDPs for agent networks

Janusz Marecki, Tapana Gupta, Pradeep Varakantham, Milind Tambe, Makoto Yokoo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

25 Citations (Scopus)

Abstract

Many applications of networks of agents, including mobile sensor networks, unmanned air vehicles, autonomous underwater vehicles, involve 100s of agents acting collaboratively under uncertainty. Distributed Partially Observable Markov Decision Problems (Distributed POMDPs) are well-suited to address such applications, but so far, only limited scale-ups of up to five agents have been demonstrated. This paper escalates the scale-up, presenting an algorithm called FANS, increasing the number of agents in distributed POMDPs for the first time into double digits. FANS is founded on finite state machines (FSMs) for policy representation and expoits these FSMs to provide three key contributions: (i) Not all agents within an agent network need the same expressivity of policy representation; FANS introduces novel heuristics to automatically vary the FSM size in different agents for scale-up; (ii) FANS illustrates efficient integration of its FSM-based policy search within algorithms that exploit agent network structure; (iii) FANS provides significant speedups in policy evaluation and heuristic computations within the network algorithms by exploiting the FSMs for dynamic programming. Experimental results show not only orders of magnitude improvements over previous best known algorithms for smaller-scale domains (with similar solution quality), but also a scale-up into double digits in terms of numbers of agents.

Original languageEnglish
Title of host publication7th International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS 2008
PublisherInternational Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)
Pages478-485
Number of pages8
ISBN (Print)9781605604701
Publication statusPublished - Jan 1 2008
Event7th International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS 2008 - Estoril, Portugal
Duration: May 12 2008May 16 2008

Publication series

NameProceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS
Volume1
ISSN (Print)1548-8403
ISSN (Electronic)1558-2914

Other

Other7th International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS 2008
CountryPortugal
CityEstoril
Period5/12/085/16/08

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Software
  • Control and Systems Engineering

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