5 papers · 1 filter
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…
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…
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…
Conservative and Risk-Aware Offline Multi-Agent Reinforcement Learning
Eslam Eldeeb, Houssem Sifaou, Osvaldo Simeone +2
Reinforcement learning (RL) has been widely adopted for controlling and optimizing complex engineering systems such as next-generation wireless networks. An important challenge in…