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A Survey on Deep Reinforcement Learning Algorithms for Robotic Manipulation
Han, Dong, Mulyana, Beni, Stankovic, Vladimir, Cheng, Samuel
Published in Sensors (Basel, Switzerland) (05.04.2023)
Published in Sensors (Basel, Switzerland) (05.04.2023)
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Multi-Scale Deep Reinforcement Learning for Real-Time 3D-Landmark Detection in CT Scans
Ghesu, Florin-Cristian, Georgescu, Bogdan, Zheng, Yefeng, Grbic, Sasa, Maier, Andreas, Hornegger, Joachim, Comaniciu, Dorin
Published in IEEE transactions on pattern analysis and machine intelligence (01.01.2019)
Published in IEEE transactions on pattern analysis and machine intelligence (01.01.2019)
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Intelligent Resource Slicing for eMBB and URLLC Coexistence in 5G and Beyond: A Deep Reinforcement Learning Based Approach
Alsenwi, Madyan, Tran, Nguyen H., Bennis, Mehdi, Pandey, Shashi Raj, Bairagi, Anupam Kumar, Hong, Choong Seon
Published in IEEE transactions on wireless communications (01.07.2021)
Published in IEEE transactions on wireless communications (01.07.2021)
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Trajectory Design for UAV-Based Internet of Things Data Collection: A Deep Reinforcement Learning Approach
Wang, Yang, Gao, Zhen, Zhang, Jun, Cao, Xianbin, Zheng, Dezhi, Gao, Yue, Ng, Derrick Wing Kwan, Renzo, Marco Di
Published in IEEE internet of things journal (01.03.2022)
Published in IEEE internet of things journal (01.03.2022)
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A deep reinforcement learning based hyper-heuristic for combinatorial optimisation with uncertainties
Zhang, Yuchang, Bai, Ruibin, Qu, Rong, Tu, Chaofan, Jin, Jiahuan
Published in European journal of operational research (16.07.2022)
Published in European journal of operational research (16.07.2022)
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Deep Reinforcement Learning Based Resource Allocation in Multi-UAV-Aided MEC Networks
Chen, Jingxuan, Cao, Xianbin, Yang, Peng, Xiao, Meng, Ren, Siqiao, Zhao, Zhongliang, Wu, Dapeng Oliver
Published in IEEE transactions on communications (01.01.2023)
Published in IEEE transactions on communications (01.01.2023)
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Cooperative Multiagent Deep Reinforcement Learning for Reliable Surveillance via Autonomous Multi-UAV Control
Yun, Won Joon, Park, Soohyun, Kim, Joongheon, Shin, MyungJae, Jung, Soyi, Mohaisen, David A., Kim, Jae-Hyun
Published in IEEE transactions on industrial informatics (01.10.2022)
Published in IEEE transactions on industrial informatics (01.10.2022)
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Deep Reinforcement Learning for Physics-Based Musculoskeletal Simulations of Healthy Subjects and Transfemoral Prostheses' Users During Normal Walking
De Vree, Leanne, Carloni, Raffaella
Published in IEEE transactions on neural systems and rehabilitation engineering (2021)
Published in IEEE transactions on neural systems and rehabilitation engineering (2021)
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Deep reinforcement learning guided graph neural networks for brain network analysis
Zhao, Xusheng, Wu, Jia, Peng, Hao, Beheshti, Amin, Monaghan, Jessica J.M., McAlpine, David, Hernandez-Perez, Heivet, Dras, Mark, Dai, Qiong, Li, Yangyang, Yu, Philip S., He, Lifang
Published in Neural networks (01.10.2022)
Published in Neural networks (01.10.2022)
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Multi-UAV Dynamic Wireless Networking With Deep Reinforcement Learning
Wang, Qiang, Zhang, Wenqi, Liu, Yuanwei, Liu, Ying
Published in IEEE communications letters (01.12.2019)
Published in IEEE communications letters (01.12.2019)
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Deep reinforcement learning with shallow controllers: An experimental application to PID tuning
Lawrence, Nathan P., Forbes, Michael G., Loewen, Philip D., McClement, Daniel G., Backström, Johan U., Gopaluni, R. Bhushan
Published in Control engineering practice (01.04.2022)
Published in Control engineering practice (01.04.2022)
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