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- International Symposium on High-Performance Parallel Distributed Computing (HPDC)
also: Workshop on the Use of P2P, GRID and Agents for the Development of Content Networks (UPGRADE-CN @ HPDC) - Spring Simulation Multiconference (SpringSim)
- ACM International Conference on International Agent Technology (IAT)
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Publication search results
found 5,976 matches
- 2025
- Sabrina Pochaba, Peter Dorfinger, Matthias Herlich, Roland Kwitt, Simon Hirlaender:
Ph.D. Forum: Multi-Agent Reinforcement Learning in Wireless Network Communication. WoWMoM 2025: 317-318 - 2024
- Paolo Frasca:
Distributed and scalable methods for the analysis and control of networks of dynamical agents. (Méthodes distribuées et scalable pour l'analyse et le contrôle des réseaux d'agents dynamiques). University of Grenoble, France, 2024 - Guillermo Bernárdez:
Multi-agent graph learning-based optimization and its applications to computer networks. Polytechnic University of Catalonia, Spain, 2024 - Dimitris Michailidis, Mayesha Tasnim, Sennay Ghebreab, Fernando P. Santos:
Tackling school segregation with transportation network interventions: an agent-based modelling approach. Auton. Agents Multi Agent Syst. 38(1): 22 (2024) - Dzaky Zakiyal Fawwaz, Sang-Hwa Chung:
Intelligent Parent Change to Improve 6TiSCH Network Transmission Using Multi-Agent Q-Learning. IEEE Access 12: 102862-102879 (2024) - Jiale Feng, Jie Wu, Zijing Li, Xisheng Zhan:
Distributed Finite-Time and Fixed-Time Containment Control for Nonlinear Multi-Agent Systems Under Heterogeneous Networks. IEEE Access 12: 27039-27051 (2024) - Gabriel Gonzalez-Sahagun, Santiago Enrique Conant-Pablos, José Carlos Ortiz-Bayliss, Jorge M. Cruz-Duarte:
A Generalist Reinforcement Learning Agent for Compressing Convolutional Neural Networks. IEEE Access 12: 51100-51114 (2024) - Tao He, Yingsheng Peng, Yong Liu, Hui Song:
AoI-Oriented Resource Allocation for NOMA-Based Wireless Powered Cognitive Radio Networks Based on Multi-Agent Deep Reinforcement Learning. IEEE Access 12: 69738-69752 (2024) - Ei Ei Mon, Hideya Ochiai, Chaodit Aswakul:
Application of Traffic Light Control in Oversaturated Urban Network Using Multi-Agent Deep Reinforcement Learning. IEEE Access 12: 82384-82395 (2024) - Rahul Sharma, Shakti Raj Chopra, Akhil Gupta, Rupendeep Kaur, Sudeep Tanwar, Giovanni Pau, Gulshan Sharma, Fayez Alqahtani, Amr Tolba:
Deployment of Unmanned Aerial Vehicles in Next-Generation Wireless Communication Network Using Multi-Agent Reinforcement Learning. IEEE Access 12: 69517-69538 (2024) - Xia Sun, Leng Han, Shiyi Li, Jianli Yang, Xingcheng Pu:
The Weighted Group Consensus for a Kind of Discrete Heterogeneous Multi-Agent Systems With Time Delay and Packet Loss in Cooperative-Competitive Networks Based on Self-Adaptive Controller. IEEE Access 12: 9834-9847 (2024) - Muhammad Naqqash Tariq, Jingyu Wang, Salman Raza, Mohammad Siraj, Majid Altamimi, Saifullah Memon:
Toward Optimal Resource Allocation: A Multi-Agent DRL Based Task Offloading Approach in Multi-UAV-Assisted MEC Networks. IEEE Access 12: 81428-81440 (2024) - Shamyo Brotee, Farhan Kabir, Md. Abdur Razzaque, Palash Roy, Md. Mamun-Or-Rashid, Md. Rafiul Hassan, Mohammad Mehedi Hassan:
Optimizing UAV-UGV coalition operations: A hybrid clustering and multi-agent reinforcement learning approach for path planning in obstructed environment. Ad Hoc Networks 160: 103519 (2024) - Debasmita Dey, Nirnay Ghosh:
iTRPL: An intelligent and trusted RPL protocol based on Multi-Agent Reinforcement Learning. Ad Hoc Networks 163: 103586 (2024) - Shivani Gaba, Ishan Budhiraja, Vimal Kumar, Sahil Garg, Mohammad Mehedi Hassan:
An innovative multi-agent approach for robust cyber-physical systems using vertical federated learning. Ad Hoc Networks 163: 103578 (2024) - Yuan He, Jun Xie, Guyu Hu, Yaqun Liu, Xijian Luo:
Joint optimization of communication and mission performance for multi-UAV collaboration network: A multi-agent reinforcement learning method. Ad Hoc Networks 164: 103602 (2024) - Anas Knari, Mostapha Derfouf, Mohammed-Amine Koulali, Ahmed Khoumsi:
Multi-Agent Deep Reinforcement Learning for content caching within the Internet of Vehicles. Ad Hoc Networks 152: 103305 (2024) - Yangyang Li, Lei Feng, Yang Yang, Wenjing Li:
GAN-powered heterogeneous multi-agent reinforcement learning for UAV-assisted task offloading. Ad Hoc Networks 153: 103341 (2024) - Shanyao Ren, Jianwei Liu, Shuzhi Sam Ge, Dongyu Li:
HWMP-based secure communication of multi-agent systems. Ad Hoc Networks 157: 103456 (2024) - Boxuan Song, Fei Wang:
STAR-RIS-aided secure communications for MEC with delay/energy-constrained QoS using multi-agent deep reinforcement learning. Ad Hoc Networks 154: 103370 (2024) - Shahaf Yamin, Haim H. Permuter:
Multi-agent reinforcement learning for network routing in integrated access backhaul networks. Ad Hoc Networks 153: 103347 (2024) - Hongzhong Deng, Ji Li, Hongqian Wu, Bingfeng Ge:
Influence of Network Structure and Agent Property on System Performance. Adv. Complex Syst. 26(7&8): 2350011:1-2350011:22 (2024) - F. Babaei, Ramin Bozorgmehry Boozarjomehry, Z. Kheirkhah Ravandi, Mahmoud Reza Pishvaie:
Enabling digital transformation of dynamic location-inventory-routing optimization in natural gas-to-product and energy networks via a domain-adaptable ontological agent-based framework. Adv. Eng. Informatics 60: 102380 (2024) - Liangliang Wang, Jiayao Liu, Ke Wang, Lianzheng Ge, Peidong Liang:
Temporal graph convolutional network for multi-agent reinforcement learning of action detection. Appl. Soft Comput. 163: 111916 (2024) - Deyuan Meng, Jingyao Zhang:
Distributed learning control for heterogeneous linear multi-agent networks. Autom. 169: 111838 (2024) - Jingying Zhu, Yufeng Zhang, Bingbing He, Zhiyao Li, Li Xiong, Xun Lang:
Improved second-harmonic imaging of ultrasound contrast agents using VGG-style network with adaptively decomposed ultrasound RF signals. Biomed. Signal Process. Control. 97: 106712 (2024) - L. Yao, Z. Leng, J. Jiang, F. Ni:
A multi-agent reinforcement learning model for maintenance optimization of interdependent highway pavement networks. Comput. Aided Civ. Infrastructure Eng. 39(19): 2951-2970 (2024) - Ying Duan, Qingtao Wu, Xuezhuan Zhao, Xiaoyu Li:
Mobile edge computing based cognitive network security analysis using multi agent machine learning techniques in B5G. Comput. Electr. Eng. 117: 109181 (2024) - Faten Louati, Farah Barika Ktata, Ikram Amous:
Big-IDS: a decentralized multi agent reinforcement learning approach for distributed intrusion detection in big data networks. Clust. Comput. 27(5): 6823-6841 (2024) - Alessio Botta, Roberto Canonico, Annalisa Navarro, Giovanni Stanco, Giorgio Ventre:
Adaptive overlay selection at the SD-WAN edges: A reinforcement learning approach with networked agents. Comput. Networks 243: 110310 (2024)
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