It is our pleasure to announce the speaker of our second seminar in 2021: Fabian Hart (TU Dresden). Fabian agreed to provide an
Introduction to Reinforcement Learning
to our community on April 6 at 10am as an online seminar. The abstract for the talk is:

The scope of this talk is to introduce Reinforcement Learning (RL) with the interesting practical use case. We discuss the motivation for RL and the basic components and principles. Q learning as a fundamental algorithm for RL is introduced and two variants, DQN and DDPG, are briefly explained. Both variants are presented in the context of the current research project, the development of a two-dimensional ship traffic simulator on the Lower Rhine.

Seminar Infrastructure

We facilitate this meeting under the Dresden Code of Conduct. Please be mindful of your peers and supportive in your communication!

To make the seminar more interactive for everyone, we set up interactives notes here. Please use them to connect to others, submit questions, add further material for the talk. The talk notes will appear on this post after the talk.

Connection Details

Time: Apr 6, 2021 10:00 AM Amsterdam, Berlin, Rome, Stockholm, Vienna

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Meeting ID: 867 2783 8757 Passcode: 195131

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