Publikationen

@inproceedings{Lange2023,

title = {Improving Reinforcement Learning Efficiency with Auxiliary Tasks in Non-Visual Environments: A Comparison},

author = {Moritz Lange and Noah Krystiniak and Raphael C. Engelhardt and Wolfgang Konen and Laurenz Wiskott},

editor = {Giuseppe Nicosia and Panos Pardalos and others},

url = {https://link.springer.com/book/10.1007/978-3-031-53969-5},

year  = {2024},

date = {2024-01-01},

urldate = {2024-01-01},

booktitle = {Machine Learning, Optimization, and Data Science: 9th International Conference, LOD 2023, Grasmere, UK, September 22-26, 2023, Revised Selected Papers},

publisher = {Springer Nature Switzerland},

note = {Best Paper Award},

keywords = {auxiliary tasks, reinforcement learning, Representation learning, RL3},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Engelhardt2024a,

title = {Ökolopoly: Case Study on Large Action Spaces in Reinforcement Learning},

author = {Raphael C. Engelhardt and Ralitsa Raycheva and Moritz Lange and Laurenz Wiskott and Wolfgang Konen},

editor = {Giuseppe Nicosia and Panos Pardalos and others},

url = {https://www.gm.fh-koeln.de/ciopwebpub/Engelh23a.d/Engelh23a.pdf},

year  = {2024},

date = {2024-01-01},

urldate = {2024-01-01},

booktitle = {Machine Learning, Optimization, and Data Science: 9th International Conference, LOD 2023, Grasmere, UK, September 22-26, 2023, Revised Selected Papers},

publisher = {Springer Nature Switzerland},

keywords = {Cybernetics, Deep Reinforcement Learning, Large Action Space, RL3, Serious Games},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Engelhardt2022,

title = {Sample-based Rule Extraction for Explainable Reinforcement Learning},

author = {Raphael C. Engelhardt and Moritz Lange and Laurenz Wiskott and Wolfgang Konen},

url = {https://www.gm.fh-koeln.de/ciopwebpub/Engelh22a.d/Engelh22a.pdf},

year  = {2022},

date = {2022-01-01},

urldate = {2022-01-01},

booktitle = {8th International Conference on machine Learning, Optimization, and Data Science (LOD2022)},

keywords = {decision trees, deep learning, explainable AI, reinforcement learning, RL3},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{engelh21,

title = {Shedding light into the black box of reinforcement learning - extended abstract},

author = {Raphael C. Engelhardt and Moritz Lange and Laurenz Wiskott and Wolfgang Konen},

editor = {Barbara Hammer and Malte Schilling and Laurenz Wiskott},

url = {https://dataninja.nrw/wp-content/uploads/2021/09/1_Engelhardt_SheddingLight_Abstract.pdf},

year  = {2021},

date = {2021-01-01},

urldate = {2021-01-01},

booktitle = {Workshop on Trustworthy AI in the Wild (at: KI 2021 - German Conf. on AI)},

keywords = {decision trees, deep learning, explainable AI, reinforcement learning, RL3},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Lange2023,

title = {Improving Reinforcement Learning Efficiency with Auxiliary Tasks in Non-Visual Environments: A Comparison},

author = {Moritz Lange and Noah Krystiniak and Raphael C. Engelhardt and Wolfgang Konen and Laurenz Wiskott},

editor = {Giuseppe Nicosia and Panos Pardalos and others},

url = {https://link.springer.com/book/10.1007/978-3-031-53969-5},

year  = {2024},

date = {2024-01-01},

urldate = {2024-01-01},

booktitle = {Machine Learning, Optimization, and Data Science: 9th International Conference, LOD 2023, Grasmere, UK, September 22-26, 2023, Revised Selected Papers},

publisher = {Springer Nature Switzerland},

note = {Best Paper Award},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Engelhardt2024a,

title = {Ökolopoly: Case Study on Large Action Spaces in Reinforcement Learning},

author = {Raphael C. Engelhardt and Ralitsa Raycheva and Moritz Lange and Laurenz Wiskott and Wolfgang Konen},

editor = {Giuseppe Nicosia and Panos Pardalos and others},

url = {https://www.gm.fh-koeln.de/ciopwebpub/Engelh23a.d/Engelh23a.pdf},

year  = {2024},

date = {2024-01-01},

urldate = {2024-01-01},

booktitle = {Machine Learning, Optimization, and Data Science: 9th International Conference, LOD 2023, Grasmere, UK, September 22-26, 2023, Revised Selected Papers},

publisher = {Springer Nature Switzerland},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Engelhardt2022,

title = {Sample-based Rule Extraction for Explainable Reinforcement Learning},

author = {Raphael C. Engelhardt and Moritz Lange and Laurenz Wiskott and Wolfgang Konen},

url = {https://www.gm.fh-koeln.de/ciopwebpub/Engelh22a.d/Engelh22a.pdf},

year  = {2022},

date = {2022-01-01},

urldate = {2022-01-01},

booktitle = {8th International Conference on machine Learning, Optimization, and Data Science (LOD2022)},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{engelh21,

title = {Shedding light into the black box of reinforcement learning - extended abstract},

author = {Raphael C. Engelhardt and Moritz Lange and Laurenz Wiskott and Wolfgang Konen},

editor = {Barbara Hammer and Malte Schilling and Laurenz Wiskott},

url = {https://dataninja.nrw/wp-content/uploads/2021/09/1_Engelhardt_SheddingLight_Abstract.pdf},

year  = {2021},

date = {2021-01-01},

urldate = {2021-01-01},

booktitle = {Workshop on Trustworthy AI in the Wild (at: KI 2021 - German Conf. on AI)},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}