Pierre Haritz
Research topics
- Reinforcement Learning
- Safe Reinforcement Learning
- Multi-Agent Learning
- Transfer Learning
Courses
- Winter semester 21/22: EINI exercise/internship
- Summer semester 22: Proseminar Reinforcement Learning and Bandit Algorithms, exercises on "Data Privacy"
- Winter semester 22/23: Project group PG652 - BlueBerry4School
- Summer semester 23: Project group PG652 - BlueBerry4School
- WiSe 23/24: Exercises on "Fundamentals of Data Science", practical course on "Fundamentals of Data Science"
- Summer semester 24: Project group PG662 - Facts4Chat
Commitment
- Faculty Committee for Budget and Structure (HaSt)
- Reviewer: European Conference of Artificial Intelligence (ECAI '23), IEEE Intelligent Vehicles Symposium (IV '24)
Publications
2023
- Haritz, Pierre and Liebig, Thomas, Free-Energy Advantage Functions for Policy Transfer to Noisy Environments with Safety Constraints, LWDA 2023: Pages 414-423.
2021
- Haritz, Pierre and Pfahler, Lukas and Liebig, Thomas and Kotthaus, Helena. Self-Supervised Source Code Annotation from Related Research Papers. In Proceedings of the PhD Forum of the 21st IEEE International Conference on Data Mining, pages 1083-1084, 2021. PhD Forum Best Paper Award.