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05/05/2023
Model-free Reinforcement Learning of Semantic Communication by Stochastic Policy Gradient
Motivated by the recent success of Machine Learning tools in wireless co...
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04/25/2023
A Multi-Task Approach to Robust Deep Reinforcement Learning for Resource Allocation
With increasing complexity of modern communication systems, machine lear...
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04/21/2023
On the Importance of Exploration for Real Life Learned Algorithms
The quality of data driven learning algorithms scales significantly with...
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04/20/2023
Robust Deep Reinforcement Learning Scheduling via Weight Anchoring
Questions remain on the robustness of data-driven learning methods when ...
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04/19/2023
Learning Resource Scheduling with High Priority Users using Deep Deterministic Policy Gradients
Advances in mobile communication capabilities open the door for closer i...
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03/13/2023
Learning Model-Free Robust Precoding for Cooperative Multibeam Satellite Communications
Direct Low Earth Orbit satellite-to-handheld links are expected to be pa...
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04/28/2022
Semantic Communication: An Information Bottleneck View
Motivated by recent success of machine learning tools at the PHY layer a...
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11/12/2021
Deep Reinforcement Model Selection for Communications Resource Allocation in On-Site Medical Care
Greater capabilities of mobile communications technology enable intercon...
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02/25/2021
ConCrete MAP: Learning a Probabilistic Relaxation of Discrete Variables for Soft Estimation with Low Complexity
Following the great success of Machine Learning (ML), especially Deep Ne...
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04/05/2018