3 papers
cs.GT2025
Bi-LSTM based Multi-Agent DRL with Computation-aware Pruning for Agent Twins Migration in Vehicular Embodied AI Networks
Yuxiang Wei, Zhuoqi Zeng, Yue Zhong +3
With the advancement of large language models and embodied Artificial Intelligence (AI) in the intelligent transportation scenarios, the combination of them in intelligent transpor…
cs.CV2023
Generative Model-Driven Synthetic Training Image Generation: An Approach to Cognition in Rail Defect Detection
Rahatara Ferdousi, Chunsheng Yang, M. Anwar Hossain +3
Recent advancements in cognitive computing, with the integration of deep learning techniques, have facilitated the development of intelligent cognitive systems (ICS). This is parti…
cs.GT2023
When Metaverses Meet Vehicle Road Cooperation: Multi-Agent DRL-Based Stackelberg Game for Vehicular Twins Migration
Jiawen Kang, Junhong Zhang, Helin Yang +2
Vehicular Metaverses represent emerging paradigms arising from the convergence of vehicle road cooperation, Metaverse, and augmented intelligence of things. Users engaging with Veh…