Abstract: This article investigates the optimal distributed formation control for heterogeneous air–ground vehicle systems using a data-efficient, off-policy reinforcement learning algorithm.
Abstract: Ensuring robustness and adaptability of vehicle stability control under dynamic driving conditions is highly challenging, particularly when multiple performance objectives must be ...
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