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arXiv 2002.01969cs.GTcs.AIcs.CRcs.FLcs.MA
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Partially Observable Games for Secure Autonomy

California Institute of Technology(加州理工学院);Jet Propulsion Laboratory, California Institute of Technology(加州理工学院喷气推进实验室)

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

英文摘要:

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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