Abstract: This study investigates the design of reward functions for deep reinforcement learning-based source term estimation (STE). Estimating the properties of unknown hazardous gas leakage using a ...
Abstract: The distributed shop scheduling problem is a hotspot in the shop scheduling field. Online scheduling requires making prompt decisions in response to environmental changes during ongoing ...
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