Helge Spieker

Do LLMs Explain or Remember? Evaluating Language Model Explanations of Reinforcement Learning Failures

Semi-supervised CAPP Transformer Learning via Pseudo-labeling

Experiments on small-scale datasets with simulated ground truth across the full data distribution show consistent accuracy gains over baselines, demonstrating the method's effectiveness in data-scarce manufacturing environments.

Automated Testing of LLM-Based Post Hoc Explainers Using Model Checking as an Oracle

The results indicate how trustworthy LLM-generated explanations are in model-free settings, where the same LLMs are used but no oracle exists to verify them.

Gimitest: A Comprehensive Tool for Testing Reinforcement Learning Policies

Gimitest is an open-source tool that supports various gym frameworks and allows for modifications of their integrated components and showcases its effectiveness in testing multiple RL policies in environments such as the official Farama Gymnasium and PettingZoo.