Pierre Haritz
Forschungsthemen
- Safe Reinforcement Learning
- Trustworthy AI
- Machine Learning Didactics
- Natural Language Processing
Kurse
- WiSe 21/22:Einführung in die Informatik (EINI) Übung/Praktikum
- SoSe 22: Proseminar Reinforcement Learning and Bandit Algorithms, Präsentationskurs, Übungen zu “Data Privacy”
- WiSe 22/23: Projektgruppe PG652 - BlueBerry4School
- SoSe 23: Projektgruppe PG652 - BlueBerry4School
- WiSe 23/24: Übungen zu "Grundlagen der Datenwissenschaft", Praktikum zu "Grundlagen der Datenwissenschaft"
- SoSe 24: Projektgruppe PG662 - Facts4Chat
- WiSe 24/25: EINI Übung/Praktikum
- SoSe 25: DAP 2 - Praktikum
- WiSe 25/26: EINI Übung/Praktikum
Betreute Abschlussarbeiten
- Transfer von Reinforcement-Learning-Modellen auf Constrained Markov Decision Processes (Dienst, Lukas)
- Standortoptimierung durch Reinforcement Learning am Beispiel von Taxidepots (Jordan, Christian)
- Effiziente Sampling-Strategien mit Stabilitätskontrolle für komplexe Fräsprozesse (Nagendram, Mayavan)
- Generalisierende Reinforcement-Learning-Agenten für sicheres autonomes Fahren in urbanen Szenarien (Wanke, David)
- Learning Robust Power Grid Control under N-1 Safety Constraints (Bhiryani, Avisha)
- Entwicklung einer KI-basierten Parametrierungsmethode digitaler adaptiver Kerbfilter zur Reduktion zeitvarianter Störemissionen von Antriebssystemen (Cakirlar, Levin)
Engagement
- Fakultätskommision für Haushalt und Struktur (HaSt)
- Reviewer: European Conference of Artificial Intelligence (ECAI '23), IEEE Intelligent Vehicles Symposium (IV '24), IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS '25)
Publikationen
2026
- Haritz, Pierre and Krone, Hendrik and Liebig, Thomas. Addressing Trust in AI Systems through Education: A Didactic Perspective. In Lamarr Issue on Trustworthy AI. tbp.
2025
- Bhiryani, Avisha and Haritz, Pierre and Liebig, Thomas. Jacobian-Based Adversarial Attacks for N-1 Robust Power Grid Control. In 2025 IEEE PowerTech.
2024
- Haritz, Pierre and Wanke, David and Liebig, Thomas. Enhancing Safety for Autonomous Agents in Partly Concealed Urban Traffic Environments Through Representation-Based Shielding. In 2024 IEEE Intelligent Vehicles Symposium (IV), Pages 1758-1763.
- Sachweh, Timon(*) and Haritz, Pierre(*) and Liebig, Thomas. Using Petri Nets as an Integrated Constraint Mechanism for Reinforcement Learning Tasks. In 2024 IEEE Intelligent Vehicles Symposium (IV), Pages 1686-1692. (*: equal contribution)
- Krone, Jan Hendrik(*) and Haritz, Pierre(*) and Liebig, Thomas. ICE-T: A Multi-Level Concept for Teaching Machine Learning. ISSEP 2024, accepted. (*: equal contribution)
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.