Reinforcement Learning Boosts Communication Network Resource Management
In a rapidly evolving technological landscape, the allocation and optimization of resources in communication networks have emerged as critical challenges...
Reinforcement
Optimizing Power Network Communication with Graph Reinforcement Learning
In a groundbreaking study published in the journal “Discover Artificial Intelligence,” researchers Jiang, Wei, and Sun propose a novel method...
Communication resource allocation method in vehicular networks based on federated multi-agent deep reinforcement learning
In this paper, we model the vehicular networking communication resource allocation problem as a task based on multi-agent reinforcement learning...
Reinforcement learning for communication load balancing: approaches and challenges
1. Introduction Wireless communication networks have revolutionized the world, providing reliable high-bandwidth low latency communication through a variety of different...
