A distributional code for value in dopamine-based reinforcement learning
Nat., pp. 671-675, 2020.
Since its introduction, the reward prediction error theory of dopamine has explained a wealth of empirical phenomena, providing a unifying framework for understanding the representation of reward and value in the brain. According to the now canonical theory, reward predictions are represented as a single scalar quantity, which supports le...More
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