InterQ: A DQN Framework for Optimal Intermittent Control
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DOI: 10.1109/lcsys.2025.3577226
Abstract: In this letter, we explore the communication-control co-design of discrete-time stochastic linear systems through reinforcement learning. Specifically, we examine a closed-loop system involving two sequential decision-makers: a scheduler and a controller. The scheduler continuously monitors… read more here.
Keywords: framework optimal; control; dqn framework; scheduling policy ... See more keywords