Topic: quantile codes

Research in machine learning has realized large performance gains on a variety of tasks by expanding the target of learning from the mean reward, as in traditional reinforcement learning (RL), to the entire distribution of rewards, an approach known as distributional RL. Dopamine (DA) neurons projecting from the midbrain to the striatum have long been thought to drive traditional RL in the mammalian brain. Moreover, a recent analysis of the response diversity of these neurons shows they have the appropriate properties to support distributional RL, and thus the learning of complete reward distr