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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