Multi-agent deep reinforcement learning for dynamic power allocation in wireless networks

YS Nasir, D Guo - IEEE Journal on selected areas in …, 2019 - ieeexplore.ieee.org
This work demonstrates the potential of deep reinforcement learning techniques for transmit
power control in wireless networks. Existing techniques typically find near-optimal power …
被引用次数：548 相关文章

[引用][C] Multi-Agent Deep Reinforcement Learning for Dynamic Power Allocation in Wireless Networks

YS Nasir, D Guo - IEEE Journal on Selected Areas in Communications, 2019 - cir.nii.ac.jp
Multi-Agent Deep Reinforcement Learning for Dynamic Power Allocation in Wireless Networks
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My Publications

YS Nasir - IEEE Journal on Selected Areas in …, 2019 - users.eecs.northwestern.edu
@ article {nasir2019multi, author={YS {Nasir} and D.{Guo}}, journal={IEEE Journal on
Selected Areas in Communications}, title={Multi-Agent Deep Reinforcement Learning for …

Multi-Agent Deep Reinforcement Learning for Dynamic Power Allocation in Wireless Networks

YS Nasir, D Guo - IEEE Journal on Selected Areas in …, 2019 - scholars.northwestern.edu
This work demonstrates the potential of deep reinforcement learning techniques for transmit
power control in wireless networks. Existing techniques typically find near-optimal power …
[PDF] academia.edu

[PDF][PDF] Multi-Agent Deep Reinforcement Learning for Dynamic Power Allocation in Wireless Networks

YS Nasir, D Guo - academia.edu
This work demonstrates the potential of deep reinforcement learning techniques for transmit
power control in wireless networks. Existing techniques typically find near-optimal power …
[PDF] ieee.org

[PDF][PDF] Multi-Agent Deep Reinforcement Learning for Dynamic Power Allocation in Wireless Networks

YS Nasir, D Guo - ieeexplore.ieee.org
This work demonstrates the potential of deep reinforcement learning techniques for transmit
power control in wireless networks. Existing techniques typically find near-optimal power …

Multi-Agent Deep Reinforcement Learning for Dynamic Power Allocation in Wireless Networks

YS Nasir, D Guo - arXiv preprint arXiv:1808.00490, 2018 - arxiv.org
This work demonstrates the potential of deep reinforcement learning techniques for transmit
power control in wireless networks. Existing techniques typically find near-optimal power …