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强化学习 (Reinforcement Learning) - 知乎 简介 根据维基百科对强化学习的定义：Reinforcement learning (RL) is an area of machine learning inspired by behaviorist psychology, concerned with how software agents ought to take actions in an environment so as to maximize some notion of cumulative reward （强化学习是机器学习领域之一，受到行为心理学的启发，主要关注智能体如何在环境中