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Master of Science in Computing Science - Reinforcement Learning (Thesis-based)
We provide Master of Science in Computing Science - Reinforcement Learning (Thesis-based). We will wholeheartedly provide you with the best quality educational resources and support. We are committed to helping every student achieve greater success in this professional field and lay a solid foundation for future career development.
Master of Science in Computing Science - Reinforcement Learning (Thesis-based)

  

About the course

Reinforcement learning is a body of theory and algorithms for optimal decision making developed within the machine learning and operations research communities in the last twenty-five years, and which have separately become important in psychology and neuroscience. Reinforcement learning methods find useful approximate solutions to optimal-control problems that are too large or too ill-defined for classical methods such as dynamic programming. For example, reinforcement-learning methods have obtained the best-known solutions in such diverse automation applications as helicopter flying, elevator scheduling, playing backgammon, and resource-constrained scheduling.

  Reinforcement learning researchers at the University of Alberta seek to create new methods for reinforcement learning that remove some of the limitations on its widespread application and to develop reinforcement learning as a model of intelligence that could approach human abilities. These objectives are pursued through mathematics, through computational experiments, through applications in robotics, game-playing, and other areas, and through the development of computational models of natural learning processes. Scholarships - View all scholarships Internships

  

Start dates and prices

Course fees are indicative and should be used as a guide. Speak to a counsellor to get an accurate price.

  Duration: 2 Year(s)Fees: Not available

Intake Location
Fall (September), 2024 Edmonton
Fall (August), 2025 Edmonton

  

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How to apply

Entry requirements for University of Alberta

Admission to the M.Sc. program is highly competitive. To apply to the Masters Program (M.Sc.) a four-year undergraduate degree, or equivalent, is required.TOEFL (Test of English as a Foreign Language) Minimum score = 600 paper, 250 computer based, 100 internet with a minimum score of 20 per section. IELTS (International English Language Testing System) Overall band score of 7.0, with a score of at least 6.0 on each test band. You must have an undergraduate grade point average of at least 3.0 on a 4.0 point scale, over the last 20 half courses to apply.

  

English language requirements

  7.0

  Overall IELTS band score

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  About IELTS

  Practice and prepare

  TOEFL Internet based overall score: 100.0

  

Application deadline:

This date isn’t available – speak to an IDP counsellor to get detailed information.

  

Further information

Career outcomes

  

Reviews and rankings

World ranking

  109th / 1250

  THE World ranking

  

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