机译:修正的基于锚图哈希的强化学习,用于云RAN中的自主小区激活
School of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu 611731 China;
School of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu 611731 China School of Computer Science Zhongshan Institute University of Electronic Science and Technology of China Zhongshan 528400 China;
German Research Center for Artificial Intelligence (DFKI GmbH) Kaiserslautern Germany;
Reinforcement learning; Anchor graph hashing; K-means clustering; Autonomous cell activation; Cloud radio access networks;
机译:基于深度Q网络对决的自主小区激活以在Cloud-RAN中节能
机译:基于端到端的CNN系列Dueling Deep Q网络,用于云Rans中的自主细胞激活
机译:基于半监督度量学习的锚图散列用于大规模图像检索
机译:使用锚图散列和集成学习从异构空间预测药物靶标
机译:了解基于模型的强化学习及其在安全强化学习中的应用
机译:基于场景划分和深度强化学习的水面自主舰艇自主航行决策
机译:C-RAN中自主细胞激活和定制节能资源分配的加强学习框架