2 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.LG2024
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…
cs.AI2023★ 2 cited
Multi-Agent Deep Reinforcement Learning for Dynamic Avatar Migration in AIoT-enabled Vehicular Metaverses with Trajectory Prediction
Junlong Chen, Jiawen Kang, Minrui Xu +5
Avatars, as promising digital assistants in Vehicular Metaverses, can enable drivers and passengers to immerse in 3D virtual spaces, serving as a practical emerging example of Arti…
cs.CV2020★ 2 cited
Graph Regularized Nonnegative Tensor Ring Decomposition for Multiway Representation Learning
Yuyuan Yu, Guoxu Zhou, Ning Zheng +2
Tensor ring (TR) decomposition is a powerful tool for exploiting the low-rank nature of multiway data and has demonstrated great potential in a variety of important applications. I…