E-LIB Suche - Ergebnisse für: Engelhardt, Raphael C.

1

Ökolopoly: Case Study on Large Action Spaces in Reinforceme..:

, In: Machine Learning, Optimization, and Data Science; Lecture Notes in Computer Science,

Engelhardt, Raphael C. ; Raycheva, Ralitsa ; Lange, Moritz.. - p. 109-123 , 2024

Link: https://doi.org/10.1007/..

2

ChatGPT Code Detection: Techniques for Uncovering the Sourc..:

Oedingen, Marc ; Engelhardt, Raphael C. ; Denz, Robin..
AI. 5 (2024) 3 - p. 1066-1094 , 2024

Link: https://doi.org/10.3390/..

3

Improving Reinforcement Learning Efficiency with Auxiliary ..:

, In: Machine Learning, Optimization, and Data Science; Lecture Notes in Computer Science,

Lange, Moritz ; Krystiniak, Noah ; Engelhardt, Raphael C... - p. 177-191 , 2024

Link: https://doi.org/10.1007/..

4

Exploring the Reliability of SHAP Values in Reinforcement L..:

, In: Communications in Computer and Information Science; Explainable Artificial Intelligence,

Engelhardt, Raphael C. ; Lange, Moritz ; Wiskott, Laurenz. - p. 165-184 , 2024

Link: https://doi.org/10.1007/..

5

Iterative Oblique Decision Trees Deliver Explainable RL Mod..:

Engelhardt, Raphael C. ; Oedingen, Marc ; Lange, Moritz..
Algorithms. 16 (2023) 6 - p. 282 , 2023

Link: https://doi.org/10.3390/..

6

Sample-Based Rule Extraction for Explainable Reinforcement ..:

, In: Machine Learning, Optimization, and Data Science; Lecture Notes in Computer Science,

Engelhardt, Raphael C. ; Lange, Moritz ; Wiskott, Laurenz. - p. 330-345 , 2023

Link: https://doi.org/10.1007/..

7

Improving Reinforcement Learning Efficiency with Auxiliary ..:

Lange, Moritz ; Krystiniak, Noah ; Engelhardt, Raphael C..
http://arxiv.org/abs/2310.04241. , 2023

Link: http://arxiv.org/abs/231..

8

Iterative Oblique Decision Trees Deliver Explainable RL Mod..:

Engelhardt, Raphael C ; Oedingen, Marc ; Lange, Moritz..
https://epb.bibl.th-koeln.de/frontdoor/index/index/docId/2368. , 2023

Link: https://epb.bibl.th-koel..

9

Iterative Oblique Decision Trees Deliver Explainable RL Mod..:

Raphael C. Engelhardt ; Marc Oedingen ; Moritz Lange..
Evolutionary Algorithms and Machine Learning. , 2023

Link: https://doi.org/10.3390/..

10

Iterative Oblique Decision Trees Deliver Explainable RL Mod..:

Raphael C. Engelhardt ; Marc Oedingen ; Moritz Lange..
https://www.mdpi.com/1999-4893/16/6/282. , 2023

Link: https://doi.org/10.3390/..

11

On the Relation Between Subjective Importance and Elicitati..:

Heckmann, Mark ; Pries, Jan C. ; Engelhardt, Tim-C....
Journal of Constructivist Psychology. 32 (2017) 1 - p. 18-32 , 2017

Link: https://doi.org/10.1080/..

12

Contributors:

, In: Handbook of Stem Cells,

Adassi, Alaa ; Afrikanova, Iva ; Akashi, Koichi... - p. ix-xv , 2004

Link: https://doi.org/10.1016/..

13

Why is the Winner the Best?:

, In: 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR),

Eisenmann, M. ; Reinke, A. ; Weru, V.... - p. 19955-19966 , 2023

Link: https://doi.org/10.1109/..

14

TRKB interaction with PSD95 is associated with latency of f..:

Fred, Senem Merve ; Moliner, Rafael ; Antila, Hanna...
European Journal of Neuroscience. 57 (2023) 8 - p. 1215-1224 , 2023

Link: https://doi.org/10.1111/..

15

Why is the Winner the Best?:

Eisenmann, M ; Reinke, A ; Weru, V...
https://discovery.ucl.ac.uk/id/eprint/10179660/1/Eisenmann_Why_Is_the_Winner_the_Best_CVPR_2023_paper.pdf. , 2023

Link: https://discovery.ucl.ac..