Reinforcement Learning

Special Topics in Deep Reinforcement Learning
The most important deep reinforcement learning algorithms, followed by special topics from our research: exploration, AI planning, and agentic reinforcement learning, with a practical project in teams.
1. Apr, 2026
CMS
Reinforcement Learning
A broad introduction to reinforcement learning: Markov decision processes, Monte-Carlo and temporal difference methods, and deep reinforcement learning, with agents trained in Gymnasium.
1. Oct, 2025
CMS
Special Topics in Deep Reinforcement Learning
The most important deep reinforcement learning algorithms, followed by special topics from our research: exploration, safe reinforcement learning, and causal reinforcement learning.
1. Apr, 2024
CMS
Reinforcement Learning
A broad introduction to reinforcement learning: Markov decision processes, Monte-Carlo and temporal difference methods, and deep reinforcement learning, with agents trained in Gymnasium.
1. Oct, 2023
CMS (archived)
Deep Reinforcement Learning

For details, have a look at the CMS.

1. Oct, 2022
CMS
MoGym: Using Formal Models for Training and Verifying Decision-making Agents
MoGym, is an integrated toolbox enabling the training and verification of machine-learned decision-making agents based on formal …
@inproceedings{grosMoGymUsingFormalModels2022,
 author = {Timo P. Gros and Holger Hermanns and Jörg Hoffmann and Michaela Klauck and Maximilian A Köhl and Verena Wolf},
 booktitle = {International Conference on Computer Aided Verification. International Conference on Computer Aided Verification (CAV)},
 doi = {10.1007/978-3-031-13188-2_21},
 isbn = {978-3-031-13188-2},
 organization = {Springer, Cham},
 pages = {430-443},
 publisher = {Springer Cham},
 title = {MoGym: Using Formal Models for Training and Verifying Decision-making Agents},
 year = {2022}
}
DOI
Deep Reinforcement Learning
Seminar on deep reinforcement learning, the predecessor of the 2022/23 edition.
1. Apr, 2021
Rein4cement Learning
Foundations of reinforcement learning combined with a practical group project on the game Connect 4.
1. Oct, 2019
Course Website