Monte-Carlo tree search found a radar detection network with 60% fewer parameters than a baseline U-Net at comparable detection performance.
Loss Function Design For Training Robust Radar Detectors Using Deep Learning,
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Searching Efficient Deep Architectures for Radar Target Detection using Monte-Carlo Tree Search
Monte-Carlo tree search found a radar detection network with 60% fewer parameters than a baseline U-Net at comparable detection performance.