3 Quarks Daily • 2/18/2026

In the early years of modern deep learning, the brain served as a guiding model. Concepts such as hippocampal replay, which involves the brain rehearsing past experiences, provided frameworks for how agents could learn from memories. Additionally, research on temporal-difference learning indicated that responses from some dopamine neurons in the brain closely resemble reward-prediction errors.
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