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AI anomaly detection auxiliary tasks BV-3D-Endo BV-3series CI classification CMA computer science computer vision constraints Cybernetics Data Mining Dato Minint decision trees deep learning Deep Reinforcement Learning digital content DLA DWT ensemble equality constraint explainable AI face recognition FEM Game Learning GBG general game playing gesture GP image mosaic Kriging Large Action Space learning LogSearch LSTM machine learning maximum likelihood estimation MONREP neuroendoscopy neuroinformatics nuclear physics online teaching optimization parameter tuning prediction rCMA reinforcement learning Representation learning Revenue Mgmt RL3 SACOBRA Serious Games SFA simulation SOMA SPOT surrogate models SVM TCN TDMR time series video streaming wavelet transform

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2023

Engelhardt, Raphael C; Oedingen, Marc; Lange, Moritz; Wiskott, Laurenz; Konen, Wolfgang

Iterative Oblique Decision Trees Deliver Explainable RL Models Journal Article

In: Algorithms, Bd. 16, Nr. 6, S. 282, 2023.

Links | BibTeX | Schlagwörter: AI, decision trees, deep learning, explainable AI, reinforcement learning, RL3

2022

Engelhardt, Raphael C.; Lange, Moritz; Wiskott, Laurenz; Konen, Wolfgang

Sample-based Rule Extraction for Explainable Reinforcement Learning Proceedings Article

In: 8th International Conference on machine Learning, Optimization, and Data Science (LOD2022), 2022.

Links | BibTeX | Schlagwörter: decision trees, deep learning, explainable AI, reinforcement learning, RL3

2021

Engelhardt, Raphael C.; Lange, Moritz; Wiskott, Laurenz; Konen, Wolfgang

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.

Links | BibTeX | Schlagwörter: decision trees, deep learning, explainable AI, reinforcement learning, RL3

 

Suchfeld

Zeige alle

1.

Engelhardt, Raphael C; Oedingen, Marc; Lange, Moritz; Wiskott, Laurenz; Konen, Wolfgang

Iterative Oblique Decision Trees Deliver Explainable RL Models Journal Article

In: Algorithms, Bd. 16, Nr. 6, S. 282, 2023.

Links | BibTeX

2.

Oedingen, Marc

Regelextraktion aus Deep Reinforcement Learning Modellen Masters Thesis

TH Köln -- University of Applied Sciences, 2022, (Bachelor thesis).

Links | BibTeX

3.

Engelhardt, Raphael C.; Lange, Moritz; Wiskott, Laurenz; Konen, Wolfgang

Sample-based Rule Extraction for Explainable Reinforcement Learning Proceedings Article

In: 8th International Conference on machine Learning, Optimization, and Data Science (LOD2022), 2022.

Links | BibTeX

4.

Engelhardt, Raphael C.; Lange, Moritz; Wiskott, Laurenz; Konen, Wolfgang

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.

Links | BibTeX