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Self-Supervised Reinforcement Learning with Contrastive Representations
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Insightforge | AI & Data Science on Instagram: "Self-supervised learning is a branch of machine learning that bridges the gap between supervised and unsupervised methods. Like unsupervised learning, it doesn’t depend on human-labeled data — instead, it automatically generates labels from the data itself. The core idea is to build a “pretext task” where some portion of the data is hidden, removed, or modified, and the model learns to predict or reconstruct it using the remaining information. For
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