Robot Off-line Programming Language HRL and its Developing Environment
机器人离线编程语言HRL及其开发环境
Hierarchical reinforcement learning ( HRL) was presented to combat the curse of dimensionality, and has made great progresses.
分层强化学习(HRL)是为解决强化学习的维数灾问题而提出的,并取得了显著进展。
To avoid the so-called' curses of dimensionality', some methods have been put forward, HRL ( hierarchical reinforcement learning) was among of them.
为了解决这种维数灾难问题,研究者引入了分层强化学习的概念并提出了一些有效的方法。
Researchers from HRL Laboratories, based in California, say they have found a way to amplify learning, only on a much smaller scale than seen in the Hollywood film.
加州休斯研究实验室的研究人员表示,他们已经找到了一种提高学习能力的方法,只不过这种方法有效的范围比《黑客帝国》中展示的要小。
简答网 · 英语词汇
简答网 · 初中英语作文
简答网 · 高考英语
简答网 · 双语娱乐资讯