ID 原文 译文
44846 同驻方法不会破坏云平台本身隔离性且具有一定的通用性，但潜在威胁极大，亟需重视与防范。 the proposed method is versatile and keeps the virtualization isolation barrier intact, which has great potential threat and should be paid great attention and precaution.
44847 针对深度确定策略梯度算法收敛速率较慢的问题，提出了一种增强型深度确定策略梯度（E-DDPG）算法。 With the problem of slow convergence for deep deterministic policy gradient algorithm, an enhanced deep deterministic policy gradient algorithm was proposed.
44848 该算法在深度确定策略梯度算法的基础上，重新构建两个新的样本池——多样性样本池和高误差样本池。 Based on the deep deterministic policy gradient algorithm, two sample pools were constructed, and the time difference error was introduced.
44849 在算法执行过程中，训练样本分别从多样性样本池和高误差样本池按比例选取，以兼顾样本多样性以及样本价值信息，提高样本的利用效率和算法的收敛性能。 The priority samples were added when the experience was played back.
44850 此外，进一步从理论上证明了利用自模拟度量方法对样本进行相似性度量的合理性，建立值函数与样本相似性之间的关系。 When the samples were trained, the samples were selected from two sample pools respectively. At the same time, the bisimulation metric was introduced to ensure the diversity of the selected samples and improve the convergence rate of the algorithm.
44851 将 E-DDPG 算法以及 DDPG 算法用于经典的 Pendulum问题和 MountainCar 问题， The E-DDPG algorithm was used to pendulum problem.
44852 实验结果表明，E-DDPG 具有更好的收敛稳定性，同时具有更快的收敛速率。 The experimental results show that the E-DDPG algorithm can effectively improve the convergence performance of the continuous action space problems and have better stability.
44853 个人或企业将数据外包给远程云服务器， Many individuals or businesses outsource their data to remote cloud.
44854 在获得运营便利的同时也失去了对数据的本地控制权，无法直接保证数据的完整性和隐私性。 Cloud storage provides users the advantages of economic convenience, but data owners no longer physically control over the stored data, which introduces new security challenges, such as no security guarantees of integrity and privacy.
44855 分析了 Zhang 等和 Xu 等提出的基于身份云数据完整性验证方案的安全性。 The security of two identity-based cloud data integrity verification schemes by Zhang et al and Xu et al respectively are analysed.