„Reinforcement Learning“

Suchergebnisse

4.414 Treffer

• Multi-UAV maritime collaborative behavior modeling based on hierarchical deep reinforcement learning and DoDAF process mining
  Zou, Zehua ; Wu, Yuqian ; Peng, Ling ; Wang, Miao ; Wang, Guoqing
• A weighted Stackelberg strategy approach for three pursuers against a superior evader using reinforcement learning
  Zhan, Ziyi ; Zhang, Yiqun ; Zhang, Pengfei
• Attention-driven reinforcement learning for multi-satellite collaborative orbital interception strategy solution
  Zhang, Wenxiu ; Wang, Yamin ; Zhang, Yonghe
• Federated deep reinforcement learning (FDRL) framework using pelican optimization (PO) to achieve sustainable energy in IoT-integrated wireless networks
  Kagi, Shivakumar ; M, Aruna ; Kousalya, C. Gnana ; Martin, R. John ; Sharma, Bhanu ; Vasani, Vaibhav Prakash ; Nagpure, Sandip
• Explainable deep reinforcement learning for climate forecasting with transfer learning
  Bikku, Thulasi ; Chappala, Ramadevi ; Rao, Angotu Nageswara ; Gaddam, Venu Gopal ; Joseph, Selva ; Thota, Srinivasarao
• Continual learning in reinforcement environments
  Ring, Mark B. 1995 Oldenbourg
• Melanoma detection: integrating dilated convolutional methods with mutual learning-based artificial bee colony and reinforcement learning
  Hu, Fengyu ; Zhang, Jiayuan
• Optimum splitting computing for DNN training through next generation smart networks: a multi-tier deep reinforcement learning approach
  Lien, Shao-Yu ; Yeh, Cheng-Hao ; Deng, Der-Jiunn
• Anti-jamming transmission in softwarization UAV network: a federated deep reinforcement learning approach
  Li, Haitao ; Lv, Xin ; Zhang, Hao ; Huang, Jiawei
• An ensemble convolutional reinforcement learning gate network for metro station PM2.5 forecasting
  Yu, Chengqing ; Yan, Guangxi ; Ruan, Kaiyi ; Liu, Xinwei ; Yu, Chengming ; Mi, Xiwei
• On optimizing the charging trajectory of mobile chargers in wireless sensor networks: a deep reinforcement learning approach
  Nowrozian, Newsha ; Tashtarian, Farzad ; Forghani, Yahya
• EQRSRL: an energy-aware and QoS-based routing schema using reinforcement learning in IoMT
  Nazari, Amin ; Kordabadi, Mojtaba ; Mohammadi, Reza ; Lal, Chhagan
• A proof of concept reinforcement learning based tool for non parametric population pharmacokinetics workflow optimization
  Otalvaro, J. D. ; Yamada, W. M. ; Hernandez, A. M. ; Zuluaga, A. F. ; Chen, R. ; Neely, M. N.
• Reinforcement learning based distributed resource allocation technique in device-to-device (D2D) communication
  Jayakumar, Steffi ; Nandakumar, S.
• Multiple agent based reinforcement learning for energy efficient routing in WSN
  Prabhu, D. ; Alageswaran, R. ; Miruna Joe Amali, S.
• On self-adaptive 5G network slice QoS management system: a deep reinforcement learning approach
  Cheng, Sheng-Tzong ; He, Chang Yu ; Lyu, Ya-Jin ; Deng, Der-Jiunn
• Multi-agent reinforcement learning based joint uplink–downlink subcarrier assignment and power allocation for D2D underlay networks
  Kai, Caihong ; Meng, Xiaowei ; Mei, Linsheng ; Huang, Wei
• Intelligent reflecting surface aided covert wireless communication exploiting deep reinforcement learning
  Hu, Langtao ; Bi, Songjiao ; Liu, Quanjin ; Jiang, Yu’e ; Chen, Chunsheng
• Deep reinforcement learning–based multi–channel spectrum sharing technology for next generation multi–operator cellular networks
  Shin, Minsu ; Mahboob, Tahira ; Mughal, Danish Mehmood ; Chung, Min Young
• Deep reinforcement learning mechanism for deadline-aware cache placement in device-to-device mobile edge networks
  Somesula, Manoj Kumar ; Mothku, Sai Krishna ; Kotte, Anusha