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沈阳工业大学，T2026101429911416，临时起意队

沈阳工业大学 T2026101429911253 深情大蟑螂

沈阳工业大学，T2026101429911250，四个起名废起不出来名字只好叫随便

高校名称：沈阳工业大学 队伍名： gogogo 队伍编号：T2026101429911247 git账号邮箱：t2026101429911247@eduxiji.net

沈阳工业大学 T2026101429911214 想去武汉吃热干面

高校名称：沈阳工业大学 队伍ID：T202610142991066 队伍名：铁蛋GOGOGO

结果不队 大连理工大学

华中科技大学，T2026104879910616，星期四吃麦当劳，proj42

Non-Volatile Memory (NVM) offers high density, low leakage power, and near-DRAM latency, but remains vulnerable to write disturbance, especially during RESET operations where thermal diffusion may disturb adjacent cells. Existing mitigation methods rely on error correction, coding, or fixed heuristics, and therefore adapt poorly to changing workloads and data patterns. We propose RLWD, a reinforcement-learning-based out-of-place update scheme that mitigates write disturbance in NVM. RLWD formulates write-address selection as a reinforcement learning problem, where the agent selects a target location that minimizes write disturbance based on the current write pattern and stale-block state. Through lightweight training, RLWD adapts online to workload changes and achieves long-term write-disturbance mitigation. Experiments show that RLWD reduces write disturbance by 18%--28%, write amplification by 10%~18%, and overall write cost by 8%~15% on average, with more than 30% disturbance reduction in some workloads. These results demonstrate that RLWD provides effective, low-overhead write-disturbance mitigation for NVM.

学校：湖北工程学院 参赛队伍ID：T202610528999608 队名：大狗大狗叫叫叫

学校：湖北工程学院 参赛队伍ID：T202610528999608 队名：大狗大狗叫叫叫