Enable javascript in your browser for better experience. Need to know to enable it? Go here.
已发布 : Apr 13, 2021
Not on the current edition
This blip is not on the current edition of the Radar. If it was on one of the last few editions it is likely that it is still relevant. If the blip is older it might no longer be relevant and our assessment might be different today. Unfortunately, we simply don't have the bandwidth to continuously review blips from previous editions of the Radar Understand more
Apr 2021
试验 ? 值得一试。了解为何要构建这一能力是很重要的。企业应当在风险可控的前提下在项目中尝试应用此项技术。

Contextual bandits 是一类非常适用于解决探索/利用权衡问题的强化学习算法。该算法以赌场中的“老虎机”命名,通过探索不同的选择,学习有关预期结果的更多信息,并通过利用表现良好的选项来平衡该结果。我们已经在一些场景中成功地使用了该技术,在这些场景中只使用了少量的数据来训练和部署一些机器学习模型。事实上,我们可以在此探索/利用的权衡过程中添加上下文,使它适合于各种用例,包括 A/B 测试、推荐和布局优化。

Radar

下载第25期技术雷达

English | Español | Português | 中文

Radar

获取最新技术洞见

 

立即订阅

查看存档并阅读往期内容