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arXiv · 2002.01969

Partially Observable Games for Secure Autonomy

Mohamadreza Ahmadi·Arun A. Viswanathan·Michel D. Ingham·Kymie Tan·Aaron D. Ames
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Abstract

Technology development efforts in autonomy and cyber-defense have been evolving independently of each other, over the past decade. In this paper, we report our ongoing effort to integrate these two presently distinct areas into a single framework. To this end, we propose the two-player partially observable stochastic game formalism to capture both high-level autonomous mission planning under uncertainty and adversarial decision making subject to imperfect information. We show that synthesizing sub-optimal strategies for such games is possible under finite-memory assumptions for both the autonomous decision maker and the cyber-adversary. We then describe an experimental testbed to evaluate the efficacy of the proposed framework.

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Mohamadreza Ahmadi, Arun A. Viswanathan, Michel D. Ingham, Kymie Tan, Aaron D. Ames. 2020-02-05. Partially Observable Games for Secure Autonomy. https://arxiv.org/abs/2002.01969

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