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Releases: upb-lea/reinforcement_learning_course_materials

2025_v2

05 Jan 12:00
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Content-wise this release is the same as 2025_v1. However, we changed the license to CC BY 4.0. A new Zenodo release is necessary for JOSE publication.

2025 edition - v1

14 Oct 07:51

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This release contains the lecture content of the summer semester 2025 reinforcement learning course at University of Siegen held by Prof. Oliver Wallscheid.
In contrast to the 2024 edition, this release's exercises are further streamlined and updated to the newest libraries. Additionally, the finalised JOSE paper is part of this release.

2024 edition - v1

10 Jul 07:07
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This release contains the lecture content of the summer semester 2023 reinforcement learning course at Paderborn University held by Dr.-Ing. Jarren Lange.
In contrast to the 2023 edition, this release's content is overall reduced to accommodate student feedback.
In particular, some niche topics were dropped or summarized, whereas more contemporary content was introduced in turn.
The exercises were reworked to drop Tensorflow in favor of PyTorch. Additionally, a more consistent structure was introduced for all exercises.

2023 edition - v1

18 Jul 10:57
551c1fa

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This release contains the lecture content of the summer semester 2023 reinforcement learning course at Paderborn University held by Dr.-Ing. Oliver Wallscheid.
In contrast to the 2022 edition, this release's content is overall reduced to accommodate student feedback.
In particular, some niche topics were dropped or summarized, whereas more contemporary content was introduced in turn.

On the long run, the 2022 edition is supposed to contain everything related to reinforcement learning for any interested reader, while the 2023 edition or the master branch shall contain content tailored to the lecture.

2022 edition - v1

29 Mar 16:48

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The course will be held in a new, revised, and filtered version as 2023 edition on master.
The older, more comprehensive 2022 edition is going to be tracked by another development branch "v2022", and releases will be published for both editions in the future.
The new 2023 edition is elaborated in order to conform to the students of the Paderborn University that take the reinforcement learning master class. It will, however, not contain newer content compared to the 2022 edition but rather less content.
As the 2023 edition is still in progress, a first release for it will be published soon.

This release is the first version for the comprehensive 2022 edition.