A GAN-based model is reported to beat baseline classifiers for supply chain credit risk, but the evaluation uses synthetic test data and no artifacts are provided.
In-Trajectory Inverse Reinforcement Learning: Learn Incrementally Before an Ongoing Trajectory Terminates
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Credit Risk Identification in Supply Chains Using Generative Adversarial Networks
A GAN-based model is reported to beat baseline classifiers for supply chain credit risk, but the evaluation uses synthetic test data and no artifacts are provided.