Everything is learned from scratch with a few small modifications to the reinforcement learning algorithm.

所有结果都是通过对于增强学习算法的一个小调整从无到有学出来的。

That software was a piece of artificial intelligence called a deep evolutionary reinforcement learning algorithm, or derl.

该软件是一款人工智能软件，叫做深度进化强化学习算法，简称derl。

The key factors to make this happen is to apply two modifications to the original reinforcement learning algorithm.

关键点就是在原始增强学习算法上增加两项调整。

Combined with on-policy and off-policy deep reinforcement learning algorithms, NeuEvo achieves comparable performance with artificial neural networks, as shown in the study.

结合政策内外深度强化学习算法，NeuEvo 实现了与人工神经网络相当的性能，如研究所示。

But this work is about no ordinary reinforcement learning algorithm, because the score to be maximized comes from a human supervisor and we're trying to teach a digital creature to perform a backflip.

但这项工作并不是普通的强化算法，因为有一位人类导师试图教这个数码生物在表演后空翻方面获得最高分。

This game is particularly difficult, not only for algorithms, but even humans, because of two important reasons: one, it requires long-term planning, which, as we know, is a huge issue for reinforcement learning algorithms.

不仅是对于算法，哪怕是对人类来说，这个游戏都特别难，因为两个重要原因：第一，这需要长期计划，正如我们所知道的，这对强化学习算法来讲是一个大问题。

The conclusion drawn by a standard reinforcement learning algorithm in such a situation would be that the performed sequence of actions does not lead to a successful shot, and little (if anything) would be learned.

在这种情况下，标准学习算法得出的结论是所执行的动作序列不会导致击球得分，这几乎学习不到任何东西。