1 citations · 1 across the 5 of their papers we have counts for
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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…
Supervised Score-Based Modeling by Gradient Boosting
Changyuan Zhao, Hongyang Du, Guangyuan Liu +1
Score-based generative models can effectively learn the distribution of data by estimating the gradient of the distribution. Due to the multi-step denoising characteristic, researc…
The Roles of Generative Artificial Intelligence in Internet of Electric Vehicles
Hanwen Zhang, Dusit Niyato, Wei Zhang +5
With the advancements of generative artificial intelligence (GenAI) models, their capabilities are expanding significantly beyond content generation and the models are increasingly…
Two-Timescale Model Caching and Resource Allocation for Edge-Enabled AI-Generated Content Services
Zhang Liu, Hongyang Du, Xiangwang Hou +4
Generative AI (GenAI) has emerged as a transformative technology, enabling customized and personalized AI-generated content (AIGC) services. In this paper, we address challenges of…