關於此 專項課程

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.
學生職業成果
25%
完成此 專項課程 後開始了新的職業。
20%
加薪或升職。
可分享的證書
完成後獲得證書
100% 在線課程
立即開始,按照自己的計劃學習。
靈活的計劃
設置並保持靈活的截止日期。
中級
完成課程大約需要 5 個月
建議進度:5 小時/週
英語(English)
學生職業成果
25%
完成此 專項課程 後開始了新的職業。
20%
加薪或升職。
可分享的證書
完成後獲得證書
100% 在線課程
立即開始,按照自己的計劃學習。
靈活的計劃
設置並保持靈活的截止日期。
中級
完成課程大約需要 5 個月
建議進度:5 小時/週
英語(English)

此專項課程包含 4 門課程

課程1

課程 1

Fundamentals of Reinforcement Learning

4.8
1,834 個評分
460 條評論
課程2

課程 2

Sample-based Learning Methods

4.8
872 個評分
177 條評論
課程3

課程 3

Prediction and Control with Function Approximation

4.8
589 個評分
104 條評論
課程4

課程 4

A Complete Reinforcement Learning System (Capstone)

4.7
446 個評分
91 條評論

提供方

Placeholder

阿尔伯塔大学

Placeholder

Alberta Machine Intelligence Institute

常見問題

還有其他問題嗎?請訪問 學生幫助中心