Publication Type
Conference Proceeding Article
Version
publishedVersion
Publication Date
2-2018
Abstract
Observing that many real-world sequential decision problems are not purely cooperative or purely competitive, we propose a new model—cooperative-competitive process (CCP)—that can simultaneously encapsulate both cooperation and competition.First, we discuss how the CCP model bridges the gap between cooperative and competitive models. Next, we investigate a specific class of group-dominant CCPs, in which agents cooperate to achieve a common goal as their primary objective, while also pursuing individual goals as a secondary objective. We provide an approximate solution for this class of problems that leverages stochastic finite-state controllers.The model is grounded in two multi-robot meeting and box pushing domains that are implemented in simulation and demonstrated on two real robots.
Discipline
Artificial Intelligence and Robotics | Databases and Information Systems | Operations Research, Systems Engineering and Industrial Engineering
Research Areas
Intelligent Systems and Optimization
Publication
Proceedings of 32nd AAAI Conference on Artificial Intelligence 2018, New Orleans, February 2-7
First Page
4735
Last Page
4742
ISBN
9781577358008
Publisher
AAAI Press
City or Country
Palo Alto, CA
Citation
WRAY, Kyle Hollins; KUMAR, Akshat; and ZILBERSTEIN, Shlomo.
Integrated cooperation and competition in multi-agent decision-making. (2018). Proceedings of 32nd AAAI Conference on Artificial Intelligence 2018, New Orleans, February 2-7. 4735-4742.
Available at: https://ink.library.smu.edu.sg/sis_research/4049
Copyright Owner and License
Publisher
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/17101
Included in
Artificial Intelligence and Robotics Commons, Databases and Information Systems Commons, Operations Research, Systems Engineering and Industrial Engineering Commons