Rl 概念
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Reinforcement learning is a framework for solving control tasks (also called decision problems) by building agents that learn from the environment by interacting with it through trial and error and receiving rewards (positive or negative) as unique feedback.
强化学习是一种用来解决控制问题（或决策问题）的机器学习算法，通过智能代理（Agent）与环境（Environment）不断进行互动，根据所获得的正向或负向反馈不断学习并获得解决该问题的能力。
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#待整理笔记
反向链接
到头儿啦~