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Offline data from outdated environments can still yield optimal policies when integrated correctly, as shown by our new hybrid reinforcement learning framework.
CANS slashes inference latency by up to 50% in collaborative edge computing by enabling devices to learn optimal DNN partitions through shared feedback.
