For years, the guiding assumption of artificial intelligence has been simple: an AI is only as good as the data it has seen. Feed it more, train it longer, and it performs better. Feed it less, and it ...
Abstract: This article investigates the optimal distributed formation control for heterogeneous air–ground vehicle systems using a data-efficient, off-policy reinforcement learning algorithm.
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