An opponent striatal circuit for distributional reinforcement learning

Machine learning research has achieved large performance gains on a wide range of tasks by expanding the learning target from mean rewards to entire probability distributions of rewards — an approach known as distributional reinforcement learning (RL). The mesolimbic dopamine system is thought to underlie RL in the mammalian brain by updating a representation of mean value in the striatum, but...