Abstract: In stochastic dynamic environments, multiagent Markov decision processes have emerged as a versatile paradigm for studying sequential decision-making problems of fully cooperative multiagent ...
Abstract: In this paper, we examine the role of stochastic quantizers for privacy preservation in control systems. We first employ a static stochastic quantizer and investigate its privacy-preserving ...
In an RL-based control system, the turbine (or wind farm) controller is realized as an agent that observes the state of the ...
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