4 papers
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…
An Offline Multi-Agent Reinforcement Learning Framework for Radio Resource Management
Eslam Eldeeb, Hirley Alves
Offline multi-agent reinforcement learning (MARL) addresses key limitations of online MARL, such as safety concerns, expensive data collection, extended training intervals, and hig…
Semantic Meta-Split Learning: A TinyML Scheme for Few-Shot Wireless Image Classification
Eslam Eldeeb, Mohammad Shehab, Hirley Alves +1
Semantic and goal-oriented (SGO) communication is an emerging technology that only transmits significant information for a given task. Semantic communication encounters many challe…