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Reinforcement Learning
Hosted by SoBigData Academy, this course introduces participants to the fundamental concepts, algorithms, and techniques of reinforcement learning. It focuses on learning optimal behavior in an environment to obtain maximum reward through interactions and feedback, similar to how children learn from exploration. Topics include dynamic programming, model-free prediction and control algorithms, function approximation, policy gradient methods, and deep reinforcement learning. The course is in self-paced learning and includes interactive self-assessment quizzes and a certificate of completion.
Additional information
| Title | Reinforcement Learning |
|---|---|
| Abstract / Description | Hosted by SoBigData Academy, this course introduces participants to the fundamental concepts, algorithms, and techniques of reinforcement learning. |
| Primary Language | English |
| Version Date | 2025 June |
| Target group | Data analysts, Researchers, Students |
| Keywords | Algorithms, Data science, Dynamic programming, Model free prediction, Reinforcement Learning, SoBigData Academy |
| Expertise level | Intermediate |
| URL to Resource | https://sobigdata.unipi.it/course/view.php?id=17 |
