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Publication search results
found 169 matches
- 2024
- Yukai Hou, Jin Zhao, Rongqing Zhang, Xiang Cheng, Liuqing Yang:
UAV Swarm Cooperative Target Search: A Multi-Agent Reinforcement Learning Approach. IEEE Trans. Intell. Veh. 9(1): 568-578 (2024) - Jiawei Zhang, Jingwei Ge, Shu Li, Shen Li, Li Li:
A Bi-Level Network-Wide Cooperative Driving Approach Including Deep Reinforcement Learning-Based Routing. IEEE Trans. Intell. Veh. 9(1): 1243-1259 (2024) - Xiaobo Zhou, Zhihui Ke, Tie Qiu:
Recommendation-Driven Multi-Cell Cooperative Caching: A Multi-Agent Reinforcement Learning Approach. IEEE Trans. Mob. Comput. 23(5): 4764-4776 (2024) - Chao Deng, Dong Yue, Wei-Wei Che, Xiangpeng Xie:
Cooperative Fault-Tolerant Control for a Class of Nonlinear MASs by Resilient Learning Approach. IEEE Trans. Neural Networks Learn. Syst. 35(1): 670-679 (2024) - Manoj Kumar Beuria, Sudhansu Sekhar Singh:
Performance analysis of cooperative NOMA with optimized power allocation using deep learning approach. Wirel. Networks 30(2): 819-834 (2024) - Wei Li, Wenhao Yan, Huaguang Shi, Si Li, Yi Zhou:
Multi-Robot Cooperative Pursuit-Evasion Control: A DeepReinforcement Learning Approach based on Prioritized Experience Replay. CCEAI 2024: 120-127 - Jose L. Salmeron, Irina Arévalo:
A privacy-preserving, distributed and cooperative FCM-based learning approach for Cancer Research. CoRR abs/2402.10102 (2024) - 2023
- Matin Pashaian, Sanaz Seyedin, Seyed Mohammad Ahadi:
A Novel Jointly Optimized Cooperative DAE-DNN Approach Based on a New Multi-Target Step-Wise Learning for Speech Enhancement. IEEE Access 11: 21669-21685 (2023) - Yan Yan, Baoxian Zhang, Cheng Li:
A networked multi-agent reinforcement learning approach for cooperative FemtoCaching assisted wireless heterogeneous networks. Comput. Networks 220: 109513 (2023) - Alfredo Cuzzocrea, Fabio Martinelli, Francesco Mercaldo:
A deep-learning approach to game bot identification via behavioural features analysis in complex massively-cooperative environments. Int. J. Data Min. Model. Manag. 15(1): 1-29 (2023) - Ruohan Shi, Qilin Fan, Shu Fu, Xu Zhang, Xiuhua Li, Meng Chen:
COCAM: a cooperative video edge caching and multicasting approach based on multi-agent deep reinforcement learning in multi-clouds environment. J. Cloud Comput. 12(1): 123 (2023) - Ying Wang, Fengjun Shang, Jianjun Lei:
Energy-efficient and delay-guaranteed routing algorithm for software-defined wireless sensor networks: A cooperative deep reinforcement learning approach. J. Netw. Comput. Appl. 217: 103674 (2023) - Zhixiu Yao, Shichao Xia, Yun Li, Guangfu Wu:
Cooperative Task Offloading and Service Caching for Digital Twin Edge Networks: A Graph Attention Multi-Agent Reinforcement Learning Approach. IEEE J. Sel. Areas Commun. 41(11): 3401-3413 (2023) - Diego Patiño, Siddharth Mayya, Juan M. Calderón, Kostas Daniilidis, David Saldaña:
Learning to Navigate in Turbulent Flows With Aerial Robot Swarms: A Cooperative Deep Reinforcement Learning Approach. IEEE Robotics Autom. Lett. 8(7): 4219-4226 (2023) - Wided Hammedi, Bouziane Brik, Sidi Mohammed Senouci:
Toward Optimal MEC-Based Collision Avoidance System for Cooperative Inland Vessels: A Federated Deep Learning Approach. IEEE Trans. Intell. Transp. Syst. 24(2): 2525-2537 (2023) - Lige Ding, Dong Zhao, Zhaofeng Wang, Guang Wang, Chang Tan, Lei Fan, Huadong Ma:
Learning to Help Emergency Vehicles Arrive Faster: A Cooperative Vehicle-Road Scheduling Approach. IEEE Trans. Mob. Comput. 22(10): 5949-5962 (2023) - Haihong Zhao, Xinbin Li, Song Han, Lei Yan, Junzhi Yu:
Adaptive Relay Selection Strategy in Underwater Acoustic Cooperative Networks: A Hierarchical Adversarial Bandit Learning Approach. IEEE Trans. Mob. Comput. 22(4): 1938-1949 (2023) - Xinhan Wang, Huanlai Xing, Fuhong Song, Shouxi Luo, Penglin Dai, Bowen Zhao:
On Jointly Optimizing Partial Offloading and SFC Mapping: A Cooperative Dual-Agent Deep Reinforcement Learning Approach. IEEE Trans. Parallel Distributed Syst. 34(8): 2479-2497 (2023) - Wenbo Guan, Xiaoyan Tang, Hongliang Lu, Yuming Zhang, Yimen Zhang:
ATT-TA: A Cooperative Multiagent Deep Reinforcement Learning Approach for TSV Assignment in 3-D ICs. IEEE Trans. Very Large Scale Integr. Syst. 31(12): 1905-1917 (2023) - Jeongju Jee, Girim Kwon, Hyuncheol Park:
Cooperative Beamforming With Nonlinear Power Amplifiers: A Deep Learning Approach for Distributed Networks. IEEE Trans. Veh. Technol. 72(5): 5973-5988 (2023) - Yuchao Zhu, Shaowei Wang:
Cooperative aerial and ground vehicle trajectory planning for post-disaster communications: An attention-based learning approach. Veh. Commun. 42: 100631 (2023) - Yongzhe Yu, Shuang Wu, Sujie Shao, Jinqian Chen, Xingyu Chen:
A Multi-Agent Deep Reinforcement Learning based Cooperative Edge Data Caching Approach. APNOMS 2023: 294-297 - Helani Wickramaarachchi, Michael Kirley, Nicholas Geard:
Cooperative Multi-Agent Reinforcement Learning with Dynamic Target Localization: A Reward Sharing Approach. AI (2) 2023: 310-324 - Jieqi Rong, Weirong Liu, Xiaoquan Yu, Wanwan Ren, Boyu Shu, Jun Peng:
A Few-shot Learning Approach for Anomaly Detection in Cooperative Tracking Control System. ISPA/BDCloud/SocialCom/SustainCom 2023: 803-808 - Pengfei Li, Xin-Lin Huang:
Cooperative Spectrum Sensing Approach in C-V2X based on Multi-Agent Reinforcement Learning. ConTEL 2023: 1-6 - Xiang Cao, Ningjiang Chen, Xuemei Yuan, Yifei Liu:
A Cooperative Edge Caching Approach Based on Multi-Agent Deep Reinforcement Learning. CSCWD 2023: 1772-1777 - Nada Abdel Khalek, Walaa Hamouda:
DEAP Learning: A Data-Driven Approach to Unsupervised Cooperative Spectrum Sensing. GLOBECOM 2023: 6389-6394 - Yushintia Pramitarini, Ridho Hendra Yoga Perdana, Kyusung Shim, Beongku An:
Exploiting TAS schemes to Enhance the PHY-security in Cooperative NOMA Networks: A Deep Learning Approach. ICAIIC 2023: 199-204 - Hsin-Chin Chen, Meng-Chang Tsai, Jan-Pan Hwang, Yi-Zeng Hsieh:
A Guiding Cooperative Learning Approach in Mobile Learning Environments. ICITL 2023: 197-206 - Jiangang Liu, Hanjiang Luo, Rukhsana Ruby, Haoran Wang, Hang Tao, Kaishun Wu:
UAV-based Reliable Optical Wireless Communication via Cooperative Multi-agent Reinforcement Learning Approach. ICPADS 2023: 856-863
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