Online Frequency Scheduling by Learning Parallel Actions
A Giovanidis, M Leconte, S Aroua, T Kvernvik… - arXiv preprint arXiv …, 2024 - arxiv.org
Radio Resource Management is a challenging topic in future 6G networks where novel
applications create strong competition among the users for the available resources. In this …
applications create strong competition among the users for the available resources. In this …
[PDF][PDF] Towards Cooperative MARL in Industrial Domains
JD Thomas - 2023 - research-information.bris.ac.uk
This thesis investigates the application of Deep Multi-Agent Reinforcement Learning
(DMARL) to problems within telecommunications and logistics. These sectors are exemplary …
(DMARL) to problems within telecommunications and logistics. These sectors are exemplary …
Decreasing Training Time of Reinforcement Learning Agents for Remote Tilt Optimization using a Surrogate Neural Network Approximator
J Huang - 2023 - diva-portal.org
One possible application of reinforcement learning in the telecommunication field is antenna
tilt optimization. However, one of key challenges we face is that the use of handcrafted …
tilt optimization. However, one of key challenges we face is that the use of handcrafted …