3 papers
eess.SY2025
Semantic Communications for Vehicle-Based Mission-Critical Services: Challenges and Solutions
Hui Zhou, Jiaying Guo, Marios Aristodemou +5
As mission-critical (MC) services such as Unmanned Aerial Vehicles (UAVs) based emergency communication and Internet of Vehicles (IoVs) enabled autonomous driving emerge, the tradi…
cs.LG2025
One4Many-StablePacker: An Efficient Deep Reinforcement Learning Framework for the 3D Bin Packing Problem
Lei Gao, Shihong Huang, Shengjie Wang +5
The three-dimensional bin packing problem (3D-BPP) is widely applied in logistics and warehousing. Existing learning-based approaches often neglect practical stability-related cons…
cs.DC2025
Deep Reinforcement Learning for Job Scheduling and Resource Management in Cloud Computing: An Algorithm-Level Review
Yan Gu, Zhaoze Liu, Shuhong Dai +5
Cloud computing has revolutionized the provisioning of computing resources, offering scalable, flexible, and on-demand services to meet the diverse requirements of modern applicati…