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Online and Reinforcement learning - DIKU

Course provider

Københavns Universitet

Location

  • Copenhagen

Description

Online and reinforcement learning break out of the static realm and move into the realm of perpetual cycle of getting new information, analysing it, and executing actions based on the updated estimation of reality. We consider agents (computer programs, robots, living beings) learning based on interactions with (real or simulated) environments. Examples include problems like repeated investment in the stock market, spam filtering, online advertising, online routing, medical treatments, games, and robotics. It allows to model a much richer range of problems, including problems with limited feedback, problems with delayed feedback, and even adversarial problems, where the environment deliberately acts against the algorithm (as, for example, in chess or spam filtering). At the same time it stimulates the development of fascinating mathematical tools for developing and analyzing algorithms for these problems.

Københavns Universitet

Practical information

Course provider

Københavns Universitet

Location

  • Copenhagen

Course provider contact information

Contact the study administration
E-mail: efteruddannelse@science.ku.dk
Tel.:35 33 35 33

ECTS credits

7,5

About ECTS Credits
About ECTS points ECTS stands for European Credit Transfer System. This is a system that can be used for credit transfer within higher education abroad or in Denmark.

Course language

English

Offered to

Spring

Deadline

Jan. 3, 2024

Current level of education

Master/Kandidat

Course duration

Kursusstart den 6. februar 2024.

Forløb: Februar - april.

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