Multi-agent DQN with shared knowledge among K agents detects multiple landmarks, reducing error by 50% versus separate training.
IEEE Transactions on Medical Imaging 36(1), 332–342 (Jan 2017)
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Multiple Landmark Detection using Multi-Agent Reinforcement Learning
Multi-agent DQN with shared knowledge among K agents detects multiple landmarks, reducing error by 50% versus separate training.