Michael Littman

Michael Littman

Michael Littman
布朗大学计算机科学教授
海外PC 优先级✓ 已收录 2 期访谈

立场时间线 4 条 · 4 个议题

同一议题按时间排列,说法变化一目了然。

金句墙 9 条

“Statistics is how you're going to keep from lying to yourself.”

统计学是让你不自欺欺人的方法。

机器学习不仅是统计:Isbell与Littman的跨学科对话 · 2020/12/26

“ICML was machine learning done by computer scientists, and NeurIPS was machine learning done by computer scientists trying to impress statisticians.”

ICML是计算机科学家做的机器学习,而NeurIPS是计算机科学家试图给统计学家留下深刻印象的机器学习。

机器学习不仅是统计:Isbell与Littman的跨学科对话 · 2020/12/26

“Chemistry is just physics, but I don't think it's as useful to think about chemistry as being just physics.”

化学只是物理学,但我认为将化学仅仅视为物理学并不那么有用。

机器学习不仅是统计:Isbell与Littman的跨学科对话 · 2020/12/26

“You have to give them what they need without bending to their will.”

你必须给予他们所需的东西,同时不屈服于他们的意志。

机器学习不仅是统计:Isbell与Littman的跨学科对话 · 2020/12/26

“The reward for good work is more work. The reward for bad work is less work.”

出色工作的奖励是更多的工作,糟糕工作的奖励是更少的工作。

机器学习不仅是统计:Isbell与Littman的跨学科对话 · 2020/12/26

“I am not particularly moved by the idea that if we're not careful, we will accidentally create a super intelligence that will destroy human life.”

我并不特别认同这样一种观点:如果我们不小心,就会意外创造出一个会毁灭人类生命的超级智能。

强化学习先驱:AI不会意外毁灭人类 · 2020/12/13

“I believe that in the process of actually developing technology that can really get around in the world and really process and do things in the world in a sophisticated way, we're going to learn a lot about what that means.”

我相信,在真正开发能够熟练地在世界中活动、处理和执行任务的技术的过程中,我们会学到很多关于这意味着什么的知识。

强化学习先驱:AI不会意外毁灭人类 · 2020/12/13

“Sometimes you need a really good... human expert in the process of machine learning.”

在机器学习过程中,有时你需要一个真正优秀的人类专家。

强化学习先驱:AI不会意外毁灭人类 · 2020/12/13

“The algorithms from which we've seen the biggest improvements in practice are the very simple, like dumb algorithms that are able to leverage computation.”

我们在实践中看到最大改进的算法,是那些非常简单、甚至有些‘愚蠢’但能够利用计算能力的算法。

强化学习先驱:AI不会意外毁灭人类 · 2020/12/13

访谈收录

机器学习不仅是统计:Isbell与Littman的跨学科对话
强化学习先驱:AI不会意外毁灭人类