字节跳动ByteBrain团队提出秒级推理强化学习VMR系统

Core Insights - ByteDance's ByteBrain team, in collaboration with UC Merced and UC Berkeley, has developed a VMR system based on deep reinforcement learning, achieving a significant reduction in inference time to 1.1 seconds while maintaining near-optimal performance [1] Group 1 - The VMR system addresses the long-neglected but critical issue of virtual machine re-scheduling (VMR) [1] - The research has been presented at the prestigious EuroSys25 conference, highlighting its academic significance [1] - The two co-first authors of the paper are interns from ByteDance's ByteBrain team, indicating the company's investment in nurturing talent [1]