Reinforcement learning is a theoretical framework that describes how agents learn to select
options that maximize rewards and minimize punishments over time. We often make …

Reinforcement learning (RL) is a theoretical framework that describes how agents learn to
select options that maximize rewards and minimize punishments over time. We often make …

连续风险决策是一种决策者在不确定和有风险的情况下做出的连续决策, 先前决策的结果反馈是
连续决策过程中一个非常重要的影响因素, 这类根据反馈信息进行的连续动态决策更贴近现实 …

Reinforcement learning (RL) engages a network of areas, including the orbitofrontal cortex
(OFC), ventral striatum (VS), amygdala (AMY), and mediodorsal thalamus (MDt). This study …

Reinforcement learning (RL), particularly in primates, is often driven by symbolic outcomes.
However, it is usually studied with primary reinforcers. To examine the neural mechanisms …

Precisely neuromodulating deep brain regions in humans could bring transformative
advancements in both cognitive neuroscience and brain disorder treatment. In a within …