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Achieve superior control of uncertain nonlinear systems with limited data by meta-learning across related systems, outperforming traditional methods.
DRL can beat hand-crafted dispatching rules at flexible job shop scheduling, even with unpredictable job arrivals.
Skip the expensive modeling step: this data-driven approach to traffic light control directly optimizes traffic flow using real-world data, slashing travel times and emissions in a massive Z眉rich simulation.
