Can We Learn Heuristics for Graphical Model Inference Using Reinforcement Learning?

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Oral presentation of our CVPR 2020 paper — a reinforcement-learning engine for solving inference in energy-based models with traditionally intractable higher-order potentials, applied to semantic segmentation.