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Reinforcement Learning

This course explores reinforcement learning, an area of machine learning that trains algorithms through interactions.

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  • Duration

    1 week
  • Weekly study

    4 hours

Reinforcement Learning

Reinforcement learning is one of the most exciting approaches to machine learning currently available to practitioners. You will examine examples of reinforcement learning in action and gain insight into the best context for the application and recognition of this approach.

Topics covered include

  • Introduction to reinforcement learning
  • Reinforcement features and ideas
  • Problems suitable for reinforcement learning

By the end of the course, you‘ll be able to…

  • Understand the fundamental ideas behind reinforcement learning
  • Apply reinforcement learning approaches using publicly available resources.

Learning on this course

On every step of the course you can meet other learners, share your ideas and join in with active discussions in the comments.

Who is the course for?

This course is aimed at computing and engineering professionals who have an interest in the area of machine learning and wish to gain practical skills with sufficient theory to have a grasp of the principles behind the algorithms. This course assumes a knowledge of computer programming in Python, statistics, basic calculus and linear algebra.

What software or tools do you need?


Who developed the course?

Dublin City University

Dublin City University is a young, dynamic and ambitious Irish university with a distinctive mission to transform lives and societies through education, research and innovation.

Learning on FutureLearn

Your learning, your rules

  • Courses are split into weeks, activities, and steps to help you keep track of your learning
  • Learn through a mix of bite-sized videos, long- and short-form articles, audio, and practical activities
  • Stay motivated by using the Progress page to keep track of your step completion and assessment scores

Join a global classroom

  • Experience the power of social learning, and get inspired by an international network of learners
  • Share ideas with your peers and course educators on every step of the course
  • Join the conversation by reading, @ing, liking, bookmarking, and replying to comments from others

Map your progress

  • As you work through the course, use notifications and the Progress page to guide your learning
  • Whenever you’re ready, mark each step as complete, you’re in control
  • Complete 90% of course steps and all of the assessments to earn your certificate

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