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F. Al-Tam — most-cited papers & profile · Reinforcement Learning
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F. Al-Tam
2
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Most-cited papers
Learn to Schedule (LEASCH): A Deep reinforcement learning approach for radio resource scheduling in the 5G MAC layer
2020
Attention-Based Model and Deep Reinforcement Learning for Distribution of Event Processing Tasks
2021
Top co-authors
N. Correia
· 2
A. Mazayev
· 1
J. Rodriguez
· 1
Topics
Value-Based
Model-Based RL
Policy Gradient