Nothing Special   »   [go: up one dir, main page]

skip to main content
10.5555/2343896.2343974acmotherconferencesArticle/Chapter ViewAbstractPublication PagesaamasConference Proceedingsconference-collections
research-article

Anytime algorithms for multi-agent visibility-based pursuit-evasion games

Published: 04 June 2012 Publication History

Abstract

We investigate algorithms for playing multi-agent visibility-based pursuit-evasion games. A team of pursuers attempts to maintain visibility contact with an evader who actively avoids tracking. We aim for applicability of the algorithms in real-world scenarios; hence, we impose hard constraints on the run-time of the algorithms and we evaluate them in a simulation model based on a real-world urban area. We compare Monte-Carlo tree search (MCTS) and iterative deepening minimax algorithms running on the information-set tree of the imperfect-information game. The experimental results demonstrate that both methods create comparable good strategies for the pursuer, while the later performs better in creating the evader's strategy.

References

[1]
P. Ciancarini and G. P. Favini. Monte Carlo tree search in Kriegspiel. Artif. Intell., 174:670--684, July 2010.
[2]
L. Kocsis and C. Szepesvári. Bandit based monte-carlo planning. In ECML, pages 282--293, 2006.
[3]
E. Raboin, D. Nau, U. Kuter, and S. Gupta. Strategy generation in multi-agent imperfect-information pursuit games. In AAMAS, pages 947--954, 2010.

Cited By

View all
  • (2018)A Search-Based Approach to Solve Pursuit-Evasion Games with Limited Visibility in Polygonal EnvironmentsProceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems10.5555/3237383.3237951(1693-1701)Online publication date: 9-Jul-2018
  • (2015)Online Monte Carlo Counterfactual Regret Minimization for Search in Imperfect Information GamesProceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems10.5555/2772879.2772887(27-36)Online publication date: 4-May-2015
  • (2012)Tactical operations of multi-robot teams in urban warfare (demonstration)Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems - Volume 310.5555/2343896.2344067(1473-1474)Online publication date: 4-Jun-2012

Recommendations

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image ACM Other conferences
AAMAS '12: Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems - Volume 3
June 2012
376 pages
ISBN:0981738133

Sponsors

  • The International Foundation for Autonomous Agents and Multiagent Systems: The International Foundation for Autonomous Agents and Multiagent Systems

In-Cooperation

Publisher

International Foundation for Autonomous Agents and Multiagent Systems

Richland, SC

Publication History

Published: 04 June 2012

Check for updates

Author Tags

  1. Monte-Carlo tree search
  2. anytime algorithm
  3. informationset search
  4. pursuit-evasion game

Qualifiers

  • Research-article

Conference

AAMAS 12
Sponsor:
  • The International Foundation for Autonomous Agents and Multiagent Systems

Acceptance Rates

Overall Acceptance Rate 1,155 of 5,036 submissions, 23%

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)0
  • Downloads (Last 6 weeks)0
Reflects downloads up to 30 Jan 2025

Other Metrics

Citations

Cited By

View all
  • (2018)A Search-Based Approach to Solve Pursuit-Evasion Games with Limited Visibility in Polygonal EnvironmentsProceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems10.5555/3237383.3237951(1693-1701)Online publication date: 9-Jul-2018
  • (2015)Online Monte Carlo Counterfactual Regret Minimization for Search in Imperfect Information GamesProceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems10.5555/2772879.2772887(27-36)Online publication date: 4-May-2015
  • (2012)Tactical operations of multi-robot teams in urban warfare (demonstration)Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems - Volume 310.5555/2343896.2344067(1473-1474)Online publication date: 4-Jun-2012

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Figures

Tables

Media

Share

Share

Share this Publication link

Share on social media