Distributional reinforcement learning
= Distributional reinforcement learning
<Learning> about a distribution of possible future returns rather than only its mean. Multiple prediction channels can vary in optimism and sensitivity to positive and negative errors. Such population heterogeneity can refine a <reward prediction error> account without implying that every <dopamine> signal performs the same computation.