9 papers
Diffusion Offline Reinforcement Learning for Fair and Energy-Efficient UAV-Assisted Wireless Networks
Eslam Eldeeb, Hirley Alves
The integration of generative artificial intelligence with wireless communication and signal processing systems has opened new avenues for intelligent, data-driven decision-making…
Meta-Offline and Distributional Multi-Agent RL for Risk-Aware Decision-Making
Eslam Eldeeb, Hirley Alves
Mission critical applications, such as UAV-assisted IoT networks require risk-aware decision-making under dynamic topologies and uncertain channels. We propose meta-conservative qu…
Offline and Distributional Reinforcement Learning for Wireless Communications
Eslam Eldeeb, Hirley Alves
The rapid growth of heterogeneous and massive wireless connectivity in 6G networks demands intelligent solutions to ensure scalability, reliability, privacy, ultra-low latency, and…
Resilient UAV Trajectory Planning via Few-Shot Meta-Offline Reinforcement Learning
Eslam Eldeeb, Hirley Alves
Reinforcement learning (RL) has been a promising essence in future 5G-beyond and 6G systems. Its main advantage lies in its robust model-free decision-making in complex and large-d…
Age and Power Minimization via Meta-Deep Reinforcement Learning in UAV Networks
Sankani Sarathchandra, Eslam Eldeeb, Mohammad Shehab +3
Age-of-information (AoI) and transmission power are crucial performance metrics in low energy wireless networks, where information freshness is of paramount importance. This study…
Offline and Distributional Reinforcement Learning for Radio Resource Management
Eslam Eldeeb, Hirley Alves
Reinforcement learning (RL) has proved to have a promising role in future intelligent wireless networks. Online RL has been adopted for radio resource management (RRM), taking over…