3 papers
cs.DC2025
Intelligent Task Scheduling for Microservices via A3C-Based Reinforcement Learning
Yang Wang, Tengda Tang, Zhou Fang +2
To address the challenges of high resource dynamism and intensive task concurrency in microservice systems, this paper proposes an adaptive resource scheduling method based on the…
cs.LG2025
Dynamic Operating System Scheduling Using Double DQN: A Reinforcement Learning Approach to Task Optimization
Xiaoxuan Sun, Yifei Duan, Yingnan Deng +3
In this paper, an operating system scheduling algorithm based on Double DQN (Double Deep Q network) is proposed, and its performance under different task types and system loads is…
cs.HC2025
Automated UI Interface Generation via Diffusion Models: Enhancing Personalization and Efficiency
Yifei Duan, Liuqingqing Yang, Tong Zhang +2
This study proposes a UI interface generation method based on a diffusion model, aiming to achieve high-quality, diversified, and personalized interface design through generative a…