Integrated cooperation and competition in multi-agent decision-making

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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.

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Wray, K. H., Kumar, A., & Zilberstein, S. (2018). Integrated cooperation and competition in multi-agent decision-making. In 32nd AAAI Conference on Artificial Intelligence, AAAI 2018 (pp. 4751–4758). AAAI press. https://doi.org/10.1609/aaai.v32i1.11589

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