2023
Iterative Oblique Decision Trees Deliver Explainable RL Models Journal Article
In: Algorithms, Bd. 16, Nr. 6, S. 282, 2023.
Improving Reinforcement Learning Efficiency with Auxiliary Tasks in Non-Visual Environments: A Comparison Proceedings Article
In: Nicosia, Giuseppe; Pardalos, Panos; others, (Hrsg.): 9th International Conference on machine Learning, Optimization, and Data Science (LOD2023), 2023, (Best Paper Award).
Ökolopoly: Case Study on Large Action Spaces in Reinforcement Learning Proceedings Article
In: Nicosia, Giuseppe; Pardalos, Panos; others, (Hrsg.): 9th International Conference on machine Learning, Optimization, and Data Science (LOD2023), 2023.
2022
Sample-based Rule Extraction for Explainable Reinforcement Learning Proceedings Article
In: 8th International Conference on machine Learning, Optimization, and Data Science (LOD2022), 2022.
2021
Shedding light into the black box of reinforcement learning - extended abstract Proceedings Article
In: Hammer, Barbara; Schilling, Malte; Wiskott, Laurenz (Hrsg.): Workshop on Trustworthy AI in the Wild (at: KI 2021 - German Conf. on AI), 2021.
Suchfeld
Iterative Oblique Decision Trees Deliver Explainable RL Models Journal Article
In: Algorithms, Bd. 16, Nr. 6, S. 282, 2023.
Improving Reinforcement Learning Efficiency with Auxiliary Tasks in Non-Visual Environments: A Comparison Proceedings Article
In: Nicosia, Giuseppe; Pardalos, Panos; others, (Hrsg.): 9th International Conference on machine Learning, Optimization, and Data Science (LOD2023), 2023, (Best Paper Award).
Ökolopoly: Case Study on Large Action Spaces in Reinforcement Learning Proceedings Article
In: Nicosia, Giuseppe; Pardalos, Panos; others, (Hrsg.): 9th International Conference on machine Learning, Optimization, and Data Science (LOD2023), 2023.
Sample-based Rule Extraction for Explainable Reinforcement Learning Proceedings Article
In: 8th International Conference on machine Learning, Optimization, and Data Science (LOD2022), 2022.
Shedding light into the black box of reinforcement learning - extended abstract Proceedings Article
In: Hammer, Barbara; Schilling, Malte; Wiskott, Laurenz (Hrsg.): Workshop on Trustworthy AI in the Wild (at: KI 2021 - German Conf. on AI), 2021.