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cs.LG2020
Resource Management in Wireless Networks via Multi-Agent Deep Reinforcement Learning
Navid Naderializadeh, Jaroslaw Sydir, Meryem Simsek +1
We propose a mechanism for distributed resource management and interference mitigation in wireless networks using multi-agent deep reinforcement learning (RL). We equip each transm…
cs.LG2019★ 4 cited
When Multiple Agents Learn to Schedule: A Distributed Radio Resource Management Framework
Navid Naderializadeh, Jaroslaw Sydir, Meryem Simsek +2
Interference among concurrent transmissions in a wireless network is a key factor limiting the system performance. One way to alleviate this problem is to manage the radio resource…