A distributional code for value in dopamine-based reinforcement learning - Dabney, Will; Kurth-Nelson, Zeb; Uchida, Naoshige; Starkweather, Clara Kwon; Hassabis, Demis; Munos, Rémi; Botvinick, Matthew (Nature (London), 2020)
Keywords: 631/378/116/2396; 631/378/1595; 631/378/1788; 631/378/2649; Animals; Artificial Intelligence; Brain research; Distributed processing (Computers); Dopamine; Dopamine - metabolism; Dopaminergic Neurons - metabolism; GABAergic Neurons - metabolism; Humanities and Social Sciences; Influence; Learning; Learning - physiology; Methods; Mice; Models, Neurological; multidisciplinary; Noise; Optimism; Pessimism; Probability; Probability distribution; Reinforcement; Reinforcement learning (Machine learning); Reinforcement, Psychology; Reward; Reward (Psychology); Science; Science (multidisciplinary); Statistical Distributions; Variance analysis; Ventral Tegmental Area - cytology; Ventral Tegmental Area - physiology; Ventral tegmentum; United Kingdom