Tatjana Krau

According to our database, Tatjana Krau authored at least 4 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Impact of Markov Decision Process Design on Sim-to-Real Reinforcement Learning.

Tatjana Krau, Jorge Mandlmaier, Tobias Damm, Frieder Heieck

CoRR, March, 2026

2025

The Crucial Role of Problem Formulation in Real-World Reinforcement Learning.

Georg Schäfer, Tatjana Krau, Jakob Rehrl, Stefan Huber, Simon Hirlaender

Proceedings of the 8th IEEE International Conference on Industrial Cyber-Physical Systems, 2025

Exploring Variance in Reinforcement Learning Environment to Bridge the Sim-To-Real Gap: A Case Study in Color Mixing.

Tatjana Krau, Georg Schäfer, Tobias Damm, Frieder Heieck

Proceedings of the 10th International Conference on Machine Learning Technologies, 2025

2024

Quantitative Trend Analysis of Reinforcement Learning Algorithms in Production Systems.

Georg Schäfer, Tatjana Krau, Maximilian Schirl, Stefan Huber

Proceedings of the Computer Aided Systems Theory - EUROCAST 2024 - 19th International Conference, Las Palmas de Gran Canaria, Spain, February 25, 2024