2 papers
cs.DC2023
Mirage: Towards Low-interruption Services on Batch GPU Clusters with Reinforcement Learning
Qiyang Ding, Pengfei Zheng, Shreyas Kudari +2
Accommodating long-running deep learning (DL) training and inference jobs is challenging on GPU clusters that use traditional batch schedulers, such as Slurm. Given fixed wall cloc…
cs.RO2022
On Deep Recurrent Reinforcement Learning for Active Visual Tracking of Space Noncooperative Objects
Dong Zhou, Guanghui Sun, Zhao Zhang +1
Active tracking of space noncooperative object that merely relies on vision camera is greatly significant for autonomous rendezvous and debris removal. Considering its Partial Obse…