Generalizable Multi-Task Learning for Wireless Networks Using Prompt Decision Transformers 事件

Generalizable Multi-Task Learning for Wireless Networks Using Prompt Decision Transformers arXiv:2606.04328v1 Announce Type: cross Abstract: Future wireless networks demand rapid adaptation to highly heterogeneous environments and dynamic task configurations, necessitating a shift from conventional rule-based and optimization-driven radio resource management (RRM) toward artificial intelligence (AI)-driven RRM. AI-driven approaches can learn complex nonlinear relationships, generalize across di