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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. 如果a (s,a)取advantage function或者q (s,a)或者它们的估计值，就是pg类rl算法的参数更新过程。 可以看作rl对数据有某些偏好来加权策略梯度。 下面是我读过的一些rl+il的文章，大多. Fr：意思是 front right（前右） fl ：意思是front left （前左） rr：意思是rear right（后右） rl：意思是rear left（后左） 扩展资料： 汽车配件专用语： 1 、acc.
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安利一下，openai出品的强化学习 (rl) 入门教程，叫 spinning up。 openai说， 完全没有机器学习基础的人类，也可以迅速上手强化学习。 有 概念，有一系列关键算法的 实现代码，有 习. The world's most popular website for rugby league fans, offering news, discussions, and community engagement.
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