Integrated Cooperation and Competition in Multi-Agent Decision-Making
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.
Cite
Text
Wray et al. "Integrated Cooperation and Competition in Multi-Agent Decision-Making." AAAI Conference on Artificial Intelligence, 2018. doi:10.1609/AAAI.V32I1.11589Markdown
[Wray et al. "Integrated Cooperation and Competition in Multi-Agent Decision-Making." AAAI Conference on Artificial Intelligence, 2018.](https://mlanthology.org/aaai/2018/wray2018aaai-integrated/) doi:10.1609/AAAI.V32I1.11589BibTeX
@inproceedings{wray2018aaai-integrated,
title = {{Integrated Cooperation and Competition in Multi-Agent Decision-Making}},
author = {Wray, Kyle Hollins and Kumar, Akshat and Zilberstein, Shlomo},
booktitle = {AAAI Conference on Artificial Intelligence},
year = {2018},
pages = {4751-4758},
doi = {10.1609/AAAI.V32I1.11589},
url = {https://mlanthology.org/aaai/2018/wray2018aaai-integrated/}
}