219 citations · 378 across the 62 of their papers we have counts for
4 papers · 1 filter
Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges
Changyuan Zhao, Guangyuan Liu, Ruichen Zhang +11
Edge General Intelligence (EGI) represents a transformative evolution of edge computing, where distributed agents possess the capability to perceive, reason, and act autonomously a…
Generative AI for Deep Reinforcement Learning: Framework, Analysis, and Use Cases
Geng Sun, Wenwen Xie, Dusit Niyato +4
As a form of artificial intelligence (AI) technology based on interactive learning, deep reinforcement learning (DRL) has been widely applied across various fields and has achieved…
On-demand Quantization for Green Federated Generative Diffusion in Mobile Edge Networks
Bingkun Lai, Jiayi He, Jiawen Kang +4
Generative Artificial Intelligence (GAI) shows remarkable productivity and creativity in Mobile Edge Networks, such as the metaverse and the Industrial Internet of Things. Federate…
Compressing Deep Reinforcement Learning Networks with a Dynamic Structured Pruning Method for Autonomous Driving
Wensheng Su, Zhenni Li, Minrui Xu +3
Deep reinforcement learning (DRL) has shown remarkable success in complex autonomous driving scenarios. However, DRL models inevitably bring high memory consumption and computation…