Abstract: In this paper we propose a novel distributed gradient-based two-time-scale algorithm for decentralized multi-agent multi-task learning (MTL) using a linear approximation of the optimal ...
Abstract: To address the flexible assembly job shop scheduling problem, an improved differential evolution algorithm based on Q-Learning is proposed to optimize the makespan, the average product ...
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