通过大量实验总结出的多巴胺系统介导的强化学习理论(reinforcement learning theory)认为：多巴胺神经元根据实际奖励与奖励预期之间的偏差，来偶 联奖励与刺激之间的关系(Schultz, et al., 1997)。
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Therefore, this study provides the evidence of reinforcement learning theory to explain FRN and extends the functional significance of P300.
所以本研究为FRN的强化学习理论解释提供了依据，并且扩展了P300的功能意义。
In this paper, the approximate theorem of average reward reinforcement learning is proven by means of the theory of performance potentials.
文中基于性能势理论，证明了平均奖赏强化学习的逼近定理。
A fighter safe landing lateral-directional control method is presented based on reinforcement learning algorithm (RL), using hierarchical control of dynamical large-scale systems theory.
基于大系统递阶控制思想，提出了一种运用再励学习算法设计歼击机自动着陆横侧向协调控制系统的方法。
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