| Deep reinforcement learning based intelligent reflecting surface optimization for MISO communication systems K Feng, Q Wang, X Li, CK Wen IEEE Wireless Communications Letters 9 (5), 745-749, 2020 | 299 | 2020 |
| PrecoderNet: Hybrid beamforming for millimeter wave systems with deep reinforcement learning Q Wang, K Feng, X Li, S Jin IEEE Wireless Communications Letters 9 (10), 1677-1681, 2020 | 74* | 2020 |
| Hybrid beamforming for mmWave MU-MISO systems exploiting multi-agent deep reinforcement learning Q Wang, X Li, S Jin, Y Chen IEEE Wireless Communications Letters 10 (5), 1046-1050, 2021 | 12 | 2021 |
| Deep learning based user grouping for FD-MIMO systems exploiting statistical channel state information S Ji, Q Wang, S Wu, J Tian, X Li, W Wang China Communications 18 (7), 183-196, 2021 | 5 | 2021 |
| Prioritized guidance for efficient multi-agent reinforcement learning exploration Q Wang, Q Wang arXiv preprint arXiv:1907.07847, 2019 | 2 | 2019 |
| Optimal Exploration Algorithm of Multi-Agent Reinforcement Learning Methods (Student Abstract) W Qisheng, W Qichao, L Xiao Proceedings of the AAAI Conference on Artificial Intelligence 34 (10), 13949 …, 2020 | 1 | 2020 |
| Optimal Exploration Algorithm of Multi-agent Reinforcement Learning Methods (Student Abstract) WQWQL Xiao | | |
Xiao LiSoutheast UniversityVerified email at seu.edu.cn
