Abstract: We present a novel extension to the game of FlipIt, introducing infrastructure costs and their impact on the at-tacker's success rate. This extension results in a simultaneous, continuous, ...
Abstract: In this article, we propose a novel variant of path integral policy improvement with covariance matrix adaptation (PI2-CMA), which is a reinforcement learning (RL) algorithm that aims to ...
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