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Found 3 papers, 1 papers with code
Reinforcement Learning for SBM Graphon Games with Re-Sampling
In more realistic scenarios where the block model is unknown, we propose a re-sampling scheme from a graphon integrated with the finite N-player MP-MFG model.
Automated Kidney Segmentation by Mask R-CNN in T2-weighted Magnetic Resonance Imaging
Despite the recent advances of deep learning algorithms in medical imaging, the automatic segmentation algorithms for kidneys in MRI exams are still scarce.
RLCard: A Toolkit for Reinforcement Learning in Card Games
The goal of RLCard is to bridge reinforcement learning and imperfect information games, and push forward the research of reinforcement learning in domains with multiple agents, large state and action space, and sparse reward.
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