[1] ZHAN Yongsong,LU Zhaoming.Computer aided large-scale crowd evacuation platform[J].Computer Engineering,2008,34(20):77-79.(in Chinese)湛永松,卢兆明.计算机辅助大规模人群疏散平台[J].计算机工程,2008,34(20):77-79. [2] NIEMI H,ESKOLA K J,PAATELAINEN R.Event-by-event fluctuations in a perturbative QCD + saturation + hydrodynamics model:determining QCD matter shear viscosity in ultrarelativistic heavy-ion collisions[J].Physics,2016,93:161-164. [3] BURSTEDDE C,KLAUCK K,SCAHDSHNEIDER A,et al.Simulation of pedestrian dynamics using a two-dimensional cellular automaton[J].Physica A:Statistical Mechanics & Its Applications,2001,295(3/4):507-525. [4] HELBING D,MOLNÁR P.Social force model for pedestrian dynamics[J].Physical Review E:Statistical Physics,Plasmas,Fluids,and Related Interdisciplinary Topics,1995,51(5):4282-4286. [5] XU Bo,MIN Huaqing.Solving minimum constraint removal problem using a social-force-model-based ant colony algorithm[J].Applied Soft Computing,2016,43(1):553-560. [6] ZHANG Aihua,LIU Qingfang,CHEN Xiaolei.Mobile intelligent terminal-oriented trample prevention system[J].Journal of Lanzhou University of Technology,2017,43(4):81-86.(in Chinese)张爱华,刘庆芳,陈晓雷.面向移动智能终端的踩踏预防系统[J].兰州理工大学学报,2017,43(4):81-86. [7] HU Xuenin,XU Shanshan,KANG Meiyu,et al.Crowd evacuation algorithm based on human-robot social force model[J].Journal of Computer Applications,2018,38(8):2164-2169.(in Chinese)胡学敏,徐珊珊,康美玉,等.基于人机社会力模型的人群疏散算法[J].计算机应用,2018,38(8):2164-2169. [8] POLYDOROS A S,NALPANTIDIS L.Survey of model-based reinforcement learning:applications on robotics[J].Journal of Intelligent & Robotic Systems,2017,86(2):153-173. [9] MNIH V,KAVUKCUOGLU K,SILVER D,et al.Play atari with deep reinforcement learning[C]//Proceedings of the 26th Workshop on Neural Information Processing Systems.Lake Tahoe,USA:[s.n.],2013:201-220. [10] GAO Yang,CHEN Shifu,LLU Xin.Research on reinforcement learning technology:a review[J].Acta Automatica Sinica,2004,30(1):86-100.(in Chinese)高阳,陈世福,陆鑫.强化学习研究综述[J].自动化学报,2004,30(1):86-100. [11] HWANG K,JIANG W,CHEN Y.Pheromone-based planning strategies in dyna-Q learning[J].IEEE Transactions on Industrial Informatics,2017,13(2):424-435. [12] IMANBERDIYEV N,FU C,KAYACAN E,et al.Autonomous navigation of UAV by using real-time model-based reinforcement learning[C]//Proceedings of the 14th International Conference on Control,Automation,Robotics and Vision.Piscataway,USA:[s.n.],2016:1-6. [13] ZHOU Wan,HU Xuemin,SHI Chenyin,et al.Motion planning algorithm of robot for crowd evacuation based on deep Q-network[J].Journal of Computer Applications,2019,39(10):2876-2882.(in Chinese)周婉,胡学敏,史晨寅,等.基于深度Q网络的人群疏散机器人运动规划算法[J].计算机应用,2019,39(10):2876-2882. [14] HOCHREFFITER S,SCHMIDHUBER J.Long short-term memory[J].Neural Computation,1997,9(8):1735-1780. [15] PENG Yuqing,SONG Chubai,YAN Qian,et al.Research on Chinese text classification based on hybrid model of VDCNN and LSTM[J].Computer Engineering,2018,44(11):190-196.(in Chinese)彭玉青,宋初柏,闫倩,等.基于VDCNN与LSTM混合模型的中文文本分类研究[J].计算机工程,2018,44(11):190-196. [16] XU Fangfang,YANG Junjie,LIU Hongzhi.Location prediction model based on ST-LSTM network[J].Computer Engineering,2019,45(9):1-7.(in Chinese)许芳芳,杨俊杰,刘宏志.基于ST-LSTM网络的位置预测模型[J].计算机工程,2019,45(9):1-7. [17] LILLICRAP T P,HUNT J J,PRITZEL A,et al.Continuous control with deep reinforcement learning[EB/OL].[2020-02-10].https://arxiv.org/abs/1509.02971. [18] WATKINS C J C H,DAYAN P.Technical note:Q-learning[J].Machine Learning,1992,8(3/4):279-292. [19] KRIZHEVSKY A,SUTSKEVER I,HINTON G E.ImageNet classification with deep convolutional neural networks[C]//Proceedings of NIPSʼ12.Cambridge,USA:MIT Press,2012:1097-1105. [20] DONAHUE J,HENDRICKS L A,ROHRBACH M,et al.Long-term recurrent convolutional networks for visual recognition and description[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2017,39(4):677-691. [21] CHEN D,VARSHNEY P K.A survey of void handling techniques or geographic routing in wireless network[J].IEEE of Communications Surveys and Tutorials,2007,9(1):50-67. [22] HELBING D,FARKAS I,VICSEK T.Simulating dynamic features of escape panic[J].Nature,2000,407(6803):487-490. |