关于此 专项课程

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The Reinforcement Learning Specialization consists of 4 courses exploring the power of adaptive learning systems and artificial intelligence (AI). Harnessing the full potential of artificial intelligence requires adaptive learning systems. Learn how Reinforcement Learning (RL) solutions help solve real-world problems through trial-and-error interaction by implementing a complete RL solution from beginning to end. By the end of this Specialization, learners will understand the foundations of much of modern probabilistic artificial intelligence (AI) and be prepared to take more advanced courses or to apply AI tools and ideas to real-world problems. This content will focus on “small-scale” problems in order to understand the foundations of Reinforcement Learning, as taught by world-renowned experts at the University of Alberta, Faculty of Science. The tools learned in this Specialization can be applied to game development (AI), customer interaction (how a website interacts with customers), smart assistants, recommender systems, supply chain, industrial control, finance, oil & gas pipelines, industrial control systems, and more.
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中级
完成时间大约为5 个月
建议 5 小时/周
英语(English)
可分享的证书
完成后获得证书
100% 在线课程
立即开始,按照自己的计划学习。
灵活的计划
设置并保持灵活的截止日期。
中级
完成时间大约为5 个月
建议 5 小时/周
英语(English)

此专项课程包含 4 门课程

课程1

课程 1

Fundamentals of Reinforcement Learning

4.8
1,564 个评分
395 条评论
课程2

课程 2

Sample-based Learning Methods

4.8
763 个评分
157 条评论
课程3

课程 3

Prediction and Control with Function Approximation

4.8
498 个评分
88 条评论
课程4

课程 4

A Complete Reinforcement Learning System (Capstone)

4.7
376 个评分
77 条评论

提供方

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阿尔伯塔大学

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Alberta Machine Intelligence Institute

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