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| 1 | +{ |
| 2 | + "title": "Reinforcement Learning: A Comprehensive Open-Source Course", |
| 3 | + "version": "2025 Version - v1", |
| 4 | + "upload_type": "software", |
| 5 | + "access_right": "open", |
| 6 | + "license": "cc-by-nc-sa-4.0", |
| 7 | + "language": "eng", |
| 8 | + "creators": [ |
| 9 | + { |
| 10 | + "name": "Ali Hassan Ali Abdelwanis", |
| 11 | + "orcid": "0009-0001-5853-5900", |
| 12 | + "affiliation": "Department of Interconnected Automation Systems, University of Siegen, Germany" |
| 13 | + }, |
| 14 | + { |
| 15 | + "name": "Barnabas Haucke-Korber", |
| 16 | + "orcid": "0000-0003-0862-2069", |
| 17 | + "affiliation": "Department of Power Electronics and Electrical Drives, Paderborn University, Germany" |
| 18 | + }, |
| 19 | + { |
| 20 | + "name": "Darius Jakobeit", |
| 21 | + "orcid": "0009-0002-1576-2465", |
| 22 | + "affiliation": "Department of Power Electronics and Electrical Drives, Paderborn University, Germany" |
| 23 | + }, |
| 24 | + { |
| 25 | + "name": "Wilhelm Kirchgässner", |
| 26 | + "orcid": "0000-0001-9490-1843", |
| 27 | + "affiliation": "Department of Power Electronics and Electrical Drives, Paderborn University, Germany" |
| 28 | + }, |
| 29 | + { |
| 30 | + "name": "Marvin Meyer", |
| 31 | + "orcid": "0009-0008-2879-7118", |
| 32 | + "affiliation": "Department of Power Electronics and Electrical Drives, Paderborn University, Germany" |
| 33 | + }, |
| 34 | + { |
| 35 | + "name": "Maximilian Schenke", |
| 36 | + "orcid": "0000-0001-5427-9527", |
| 37 | + "affiliation": "Department of Power Electronics and Electrical Drives, Paderborn University, Germany" |
| 38 | + }, |
| 39 | + { |
| 40 | + "name": "Hendrik Vater", |
| 41 | + "orcid": "0009-0005-0654-8741", |
| 42 | + "affiliation": "Department of Power Electronics and Electrical Drives, Paderborn University, Germany" |
| 43 | + }, |
| 44 | + { |
| 45 | + "name": "Oliver Wallscheid", |
| 46 | + "orcid": "0000-0001-9362-8777", |
| 47 | + "affiliation": "Department of Power Electronics and Electrical Drives, Paderborn University, Germany" |
| 48 | + }, |
| 49 | + { |
| 50 | + "name": "Daniel Weber", |
| 51 | + "orcid": "0000-0003-3367-5998", |
| 52 | + "affiliation": "Department of Power Electronics and Electrical Drives, Paderborn University, Germany" |
| 53 | + } |
| 54 | + ], |
| 55 | + "keywords": [ |
| 56 | + "data science", |
| 57 | + "Python", |
| 58 | + "TensorFlow", |
| 59 | + "PyTorch", |
| 60 | + "Jupyter notebook", |
| 61 | + "reproducible workflow", |
| 62 | + "open science", |
| 63 | + "reinforcement learning", |
| 64 | + "exploratory data analysis", |
| 65 | + "machine learning", |
| 66 | + "supervised learning" |
| 67 | + ] |
| 68 | +} |
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