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We propose a subclass of timed game automata (TGA), called task TGA, representing networks of communicating tasks where the system can choose when to start the task and the environment can choose the duration of the task. We search to solve finite-horizon reachability games on task TGA by building strategies in the form of simple temporal networks with uncertainty (STNU). Such strategies have the...
In this paper, we study the problem of optimizing the throughput for micro-factories subject to failures. The challenge consists in mapping several tasks onto a set of machines. The originality of our approach is the failure model for such applications in which tasks are subject to failures rather than machines. If there is exactly one task per machine in the mapping, then we prove that the optimal...
We provide a principled way of proving Omacr(radicT) high-probability guarantees for partial-information (bandit) problems over arbitrary convex decision sets. First, we prove a regret guarantee for the full-information problem in terms of ldquolocalrdquo norms, both for entropy and self-concordant barrier regularization, unifying these methods. Given one of such algorithms as a black-box, we can...
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