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ENTITY PRIL-M

PRIL-M

PulseAugur coverage of PRIL-M — every cluster mentioning PRIL-M across labs, papers, and developer communities, ranked by signal.

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  1. RESEARCH · CL_06931 ·

    Reinforcement learning optimizes TSCH networks for lower power and latency

    Researchers have developed RL-ASL, a reinforcement learning framework designed to optimize listening slots in Time Slotted Channel Hopping (TSCH) networks. This adaptive approach dynamically decides whether to activate …