2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.RO2023★ 2 cited
Deep RL at Scale: Sorting Waste in Office Buildings with a Fleet of Mobile Manipulators
Alexander Herzog, Kanishka Rao, Karol Hausman +37
We describe a system for deep reinforcement learning of robotic manipulation skills applied to a large-scale real-world task: sorting recyclables and trash in office buildings. Rea…
cs.LG2023
Spatiotemporal and Semantic Zero-inflated Urban Anomaly Prediction
Yao Lu, Pengyuan Zhou, Yong Liao +1
Urban anomaly predictions, such as traffic accident prediction and crime prediction, are of vital importance to smart city security and maintenance. Existing methods typically use…
cs.CV2023
SR-init: An interpretable layer pruning method
Hui Tang, Yao Lu, Qi Xuan
Despite the popularization of deep neural networks (DNNs) in many fields, it is still challenging to deploy state-of-the-art models to resource-constrained devices due to high comp…