129 citations · 132 across the 3 of their papers we have counts for
4 papers
Towards Closing the Sim-to-Real Gap in Collaborative Multi-Robot Deep Reinforcement Learning
Wenshuai Zhao, Jorge Peña Queralta, Li Qingqing +1
Current research directions in deep reinforcement learning include bridging the simulation-reality gap, improving sample efficiency of experiences in distributed multi-agent reinfo…
Ubiquitous Distributed Deep Reinforcement Learning at the Edge: Analyzing Byzantine Agents in Discrete Action Spaces
Wenshuai Zhao, Jorge Peña Queralta, Li Qingqing +1
The integration of edge computing in next-generation mobile networks is bringing low-latency and high-bandwidth ubiquitous connectivity to a myriad of cyber-physical systems. This…
Multi-Scale Supervised 3D U-Net for Kidneys and Kidney Tumor Segmentation
Wenshuai Zhao, Dihong Jiang, Jorge Peña Queralta +1
Accurate segmentation of kidneys and kidney tumors is an essential step for radiomic analysis as well as developing advanced surgical planning techniques. In clinical analysis, the…
Multi Scale Supervised 3D U-Net for Kidney and Tumor Segmentation
Wenshuai Zhao, Zengfeng Zeng
U-Net has achieved huge success in various medical image segmentation challenges. Kinds of new architectures with bells and whistles might succeed in certain dataset when employed…