• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 4,164 matches

• 2024
• 
  Jiang-Ping Huang, Liang Gao, Xinyu Li:
  An end-to-end deep reinforcement learning method based on graph neural network for distributed job-shop scheduling problem. Expert Syst. Appl. 238(Part A): 121756 (2024)
• 
  Fuyue Ren, Wei Dong, Xiaodong Zhao, Fan Zhang, Yaguang Kong, Qiang Yang:
  Two-layer coordinated reinforcement learning for traffic signal control in traffic network. Expert Syst. Appl. 235: 121111 (2024)
• 
  Rizwan Hamid Randhawa, Nauman Aslam, Mohammad Alauthman, Muhammad Khalid, Husnain Rafiq:
  Deep reinforcement learning based Evasion Generative Adversarial Network for botnet detection. Future Gener. Comput. Syst. 150: 294-302 (2024)
• 
  Izhar Ahmed Khan, Imran Razzak, Dechang Pi, Nasrullah Khan, Yasir Hussain, Bentian Li, Tanzeela Kousar:
  Fed-Inforce-Fusion: A federated reinforcement-based fusion model for security and privacy protection of IoMT networks against cyber-attacks. Inf. Fusion 101: 102002 (2024)
• 2023
• 
  Anuarbek Amanov:
  Veri merkezlerinde derin pekiştirmeli öğrenme ile ağ trafik optimizasyonu (Network traffic optimization with deep reinforcement learning in data centers). Gazi University, Turkey, 2023
• 
  Liang Xiao, Helin Yang, Weihua Zhuang, Minghui Min:
  Reinforcement Learning for Maritime Communications. Wireless Networks, Springer 2023, ISBN 978-3-031-32137-5, pp. 1-146
• 
  Yuanqiang Yu, Peng Zhang, Kai Zhao, Yan Zheng, Jianye Hao:
  Accelerating deep reinforcement learning via knowledge-guided policy network. Auton. Agents Multi Agent Syst. 37(1): 17 (2023)
• 
  Oday Al-Jerew, Nizar Al Bassam, Abeer Alsadoon:
  Reinforcement Learning for Delay Tolerance and Energy Saving in Mobile Wireless Sensor Networks. IEEE Access 11: 19819-19835 (2023)
• 
  Haider Ali, Dian Chen, Matthew Harrington, Nathaniel Salazar, Mohannad Al Ameedi, Ahmad Faraz Khan, Ali Raza Butt, Jin-Hee Cho:
  A Survey on Attacks and Their Countermeasures in Deep Learning: Applications in Deep Neural Networks, Federated, Transfer, and Deep Reinforcement Learning. IEEE Access 11: 120095-120130 (2023)
• 
  Abdullah A. Almehizia, Fahad Saleh Mohammed Al-Ismail:
  Primary Distribution Feeder Reinforcement Model With Network Constraints. IEEE Access 11: 92752-92765 (2023)
• 
  Sa'di Altamimi, Basel Altamimi, David Côté, Shervin Shirmohammadi:
  Toward a Superintelligent Action Recommender for Network Operation Centers Using Reinforcement Learning. IEEE Access 11: 20216-20229 (2023)
• 
  M. Asim Amin, Ahmad Suleman, Muhammad Waseem, Taosif Iqbal, Saddam Aziz, Muhammad Talib Faiz, Lubaid Zulfiqar, Ahmed Mohammed Saleh:
  Renewable Energy Maximization for Pelagic Islands Network of Microgrids Through Battery Swapping Using Deep Reinforcement Learning. IEEE Access 11: 86196-86213 (2023)
• 
  Jyotismita Chaki, Marcin Wozniak:
  Brain Tumor Categorization and Retrieval Using Deep Brain Incep Res Architecture Based Reinforcement Learning Network. IEEE Access 11: 130584-130600 (2023)
• 
  Bor-Sen Chen, Po-Chun Chao:
  Robust Decentralized H∞ Attack-Tolerant Observer-Based Team Formation Network Control of Large-Scale Quadrotor UAVs: HJIE-Reinforcement Learning-Based Deep Neural Network Method. IEEE Access 11: 65810-65833 (2023)
• 
  Yingying Chi, Yi Zhang, Yong Liu, Hailong Zhu, Zhe Zheng, Rui Liu, Peiying Zhang:
  Deep Reinforcement Learning Based Edge Computing Network Aided Resource Allocation Algorithm for Smart Grid. IEEE Access 11: 6541-6550 (2023)
• 
  Nastaran Gholizadeh, Nazli Kazemi, Petr Musilek:
  A Comparative Study of Reinforcement Learning Algorithms for Distribution Network Reconfiguration With Deep Q-Learning-Based Action Sampling. IEEE Access 11: 13714-13723 (2023)
• 
  Soi Jeon, Hoang Tien Nguyen, Dae-Hyun Choi:
  Safety-Integrated Online Deep Reinforcement Learning for Mobile Energy Storage System Scheduling and Volt/VAR Control in Power Distribution Networks. IEEE Access 11: 34440-34455 (2023)
• 
  Bei Li, Jiangchen Li, Mei Han:
  Deep Reinforcement Learning-Based Charging Price Determination Considering the Coordinated Operation of Hydrogen Fuel Cell Electric Vehicle, Power Network and Transportation Network. IEEE Access 11: 75508-75521 (2023)
• 
  Jinqiang Li, Miao Ye, Linqiang Huang, Xiaofang Deng, Hongbing Qiu, Yong Wang, Qiuxiang Jiang:
  An Intelligent SDWN Routing Algorithm Based on Network Situational Awareness and Deep Reinforcement Learning. IEEE Access 11: 83322-83342 (2023)
• 
  Chien-Chang Liu, Li-Der Chou:
  5G/B5G Network Slice Management via Staged Reinforcement Learning. IEEE Access 11: 72272-72280 (2023)
• 
  Arafat Abu Mallouh, Zakariya Qawaqneh, Omar Abuzaghleh, Ahmad Al-Rababa'A:
  A New Efficient Method for Refining the Reinforcement Learning Algorithm to Train Deep Q Agents for Reaching a Consensus in P2P Networks. IEEE Access 11: 38665-38679 (2023)
• 
  Silvestre Malta, Pedro Pinto, Manuel Fernández-Veiga:
  Using Reinforcement Learning to Reduce Energy Consumption of Ultra-Dense Networks With 5G Use Cases Requirements. IEEE Access 11: 5417-5428 (2023)
• 
  Shereen Omar, Ahmed M. Abd El-Haleem, Ibrahim I. Ibrahim, Amany M. Saleh:
  Capacity Enhancement of Flying-IRS Assisted 6G THz Network Using Deep Reinforcement Learning. IEEE Access 11: 101616-101629 (2023)
• 
  Gerges M. Salama, Samar Shaker Metwly, E. G. Shehata, Ahmed M. Abd El-Haleem:
  Deep Reinforcement Learning Based Algorithm for Symbiotic Radio IoT Throughput Optimization in 6G Network. IEEE Access 11: 42331-42342 (2023)
• 
  Malcolm M. Sande, Mduduzi Comfort Hlophe, Bodhaswar T. Maharaj:
  A Backhaul Adaptation Scheme for IAB Networks Using Deep Reinforcement Learning With Recursive Discrete Choice Model. IEEE Access 11: 14181-14201 (2023)
• 
  Parisa Supitayakul, Zeynep Yücel, Akito Monden:
  Artificial Neural Network Based Audio Reinforcement for Computer Assisted Rote Learning. IEEE Access 11: 39466-39483 (2023)
• 
  Xiangyang Xu, Yu Song:
  A Deep Reinforcement Learning-Based Optimal Computation Offloading Scheme for VR Video Transmission in Mobile Edge Networks. IEEE Access 11: 122772-122781 (2023)
• 
  Dandan Yan, Benjamin K. Ng, Wei Ke, Chan-Tong Lam:
  Deep Reinforcement Learning Based Resource Allocation for Network Slicing With Massive MIMO. IEEE Access 11: 75899-75911 (2023)
• 
  Siyu Yuan, Zhenyu Zhang, Qin Li, Weiyuan Li, Yong Zhang:
  Joint Optimization of DNN Partition and Continuous Task Scheduling for Digital Twin-Aided MEC Network With Deep Reinforcement Learning. IEEE Access 11: 27099-27110 (2023)
• 
  Xiangxue Zhao, Dominic Flocco, Shapour Azarm, Balakumar Balachandran:
  Deep Reinforcement Learning for the Co-Optimization of Vehicular Flow Direction Design and Signal Control Policy for a Road Network. IEEE Access 11: 7247-7261 (2023)

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