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Reinforcement Learning

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This course is about Reinforcement Learning (RL), the third type of learning besides Supervised Learning and Unsupervised Learning. In RL, the paradigm is to try out different options and learn from feedback which options are best to reach a goal. RL has its roots both in biologically and psychologically inspired learning approaches and in control. Active participation in discussion after each lecture is expected.

Target audience

PhD. students interested in Reinforcement learning.

Point of contact

Alexis Linard, Anastasiia Varava, Chris Pek, Hang Yin, Prof. Dr. Danica Kragic


Write us a mail to register for this course.