most citedMulti-Scale Supervised 3D U-Net for Kidneys and Kidney Tumor Segmentation

129 citations · 135 across the 4 of their papers we have counts for

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cs.LG2020★ 2 cited

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…