Multi-agent deep reinforcement learning (MADRL) meets multi-user MIMO systems

H Lee, J Jeong - 2021 IEEE Global Communications …, 2021 - ieeexplore.ieee.org
A multi-agent deep reinforcement learning (MADRL) is a promising approach to challenging
problems in wireless environments involving multiple decision-makers (or actors) with high …
被引用次数：8 相关文章

Multi-agent deep reinforcement learning (MADRL) meets multi-user MIMO systems

H Lee, J Jeong - arXiv e-prints, 2021 - ui.adsabs.harvard.edu
A multi-agent deep reinforcement learning (MADRL) is a promising approach to challenging
problems in wireless environments involving multiple decision-makers (or actors) with high …

Multi-agent deep reinforcement learning (MADRL) meets multi-user MIMO systems

H Lee, J Jeong - arXiv preprint arXiv:2109.04986, 2021 - arxiv.org
A multi-agent deep reinforcement learning (MADRL) is a promising approach to challenging
problems in wireless environments involving multiple decision-makers (or actors) with high …