reinforcement_learning_course_materials/.zenodo.json at master · upb-lea/reinforcement_learning_course_materials · GitHub

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{
  "title": "Reinforcement Learning: A Comprehensive Open-Source Course",
  "upload_type": "software",
  "access_right": "open",
  "language": "eng",
  "creators": [
    {
      "name": "Ali Hassan Ali Abdelwanis",
      "orcid": "0009-0001-5853-5900",
      "affiliation": "Department of Interconnected Automation Systems, University of Siegen, Germany"
    },
    {
      "name": "Barnabas Haucke-Korber",
      "orcid": "0000-0003-0862-2069",
      "affiliation": "Department of Power Electronics and Electrical Drives, Paderborn University, Germany"
    },
    {
      "name": "Darius Jakobeit",
      "orcid": "0009-0002-1576-2465",
      "affiliation": "Department of Power Electronics and Electrical Drives, Paderborn University, Germany"
    },
    {
      "name": "Wilhelm Kirchgässner",
      "orcid": "0000-0001-9490-1843",
      "affiliation": "Department of Power Electronics and Electrical Drives, Paderborn University, Germany"
    },
    {
      "name": "Marvin Meyer",
      "orcid": "0009-0008-2879-7118",
      "affiliation": "Department of Power Electronics and Electrical Drives, Paderborn University, Germany"
    },
    {
      "name": "Maximilian Schenke",
      "orcid": "0000-0001-5427-9527",
      "affiliation": "Department of Power Electronics and Electrical Drives, Paderborn University, Germany"
    },
    {
      "name": "Hendrik Vater",
      "orcid": "0009-0005-0654-8741",
      "affiliation": "Department of Power Electronics and Electrical Drives, Paderborn University, Germany"
    },
    {
      "name": "Oliver Wallscheid",
      "orcid": "0000-0001-9362-8777",
      "affiliation": "Department of Power Electronics and Electrical Drives, Paderborn University, Germany"
    },
    {
      "name": "Daniel Weber",
      "orcid": "0000-0003-3367-5998",
      "affiliation": "Department of Power Electronics and Electrical Drives, Paderborn University, Germany"
    }
  ],
  "keywords": [
    "data science",
    "Python",
    "TensorFlow",
    "PyTorch",
    "Jupyter notebook",
    "reproducible workflow",
    "open science",
    "reinforcement learning",
    "exploratory data analysis",
    "machine learning",
    "supervised learning"
  ]
}