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: In response to the challenges of high integration difficulty and poor data security in current collaborative control, this paper proposes a functional architecture control platform based on ...
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