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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