ReLMXEL: Adaptive RL-Based Memory Controller with Explainable Energy and Latency Optimization
ReLMXEL: Adaptive RL-Based Memory Controller with Explainable Energy and Latency Optimization explores ReLMXEL is an adaptive reinforcement learning framework that optimizes memory controller performance while providing explainable energy and latency management.. Commercial viability score: 4/10 in Reinforcement Learning.
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