Modular Networks Prevent Catastrophic Interference in Model-Based Multi-task Reinforcement Learning

Robin Schiewer, Laurenz Wiskott. Modular Networks Prevent Catastrophic Interference in Model-Based Multi-task Reinforcement Learning. In Giuseppe Nicosia, Varun Ojha 0001, Emanuele La Malfa, Gabriele La Malfa, Giorgio Jansen, Panos M. Pardalos, Giovanni Giuffrida, Renato Umeton, editors, Machine Learning, Optimization, and Data Science - 7th International Conference, LOD 2021, Grasmere, UK, October 4-8, 2021, Revised Selected Papers, Part II. Volume 13164 of Lecture Notes in Computer Science, pages 299-313, Springer, 2021. [doi]

@inproceedings{SchiewerW21,
  title = {Modular Networks Prevent Catastrophic Interference in Model-Based Multi-task Reinforcement Learning},
  author = {Robin Schiewer and Laurenz Wiskott},
  year = {2021},
  doi = {10.1007/978-3-030-95470-3_23},
  url = {https://doi.org/10.1007/978-3-030-95470-3_23},
  researchr = {https://researchr.org/publication/SchiewerW21},
  cites = {0},
  citedby = {0},
  pages = {299-313},
  booktitle = {Machine Learning, Optimization, and Data Science - 7th International Conference, LOD 2021, Grasmere, UK, October 4-8, 2021, Revised Selected Papers, Part II},
  editor = {Giuseppe Nicosia and Varun Ojha 0001 and Emanuele La Malfa and Gabriele La Malfa and Giorgio Jansen and Panos M. Pardalos and Giovanni Giuffrida and Renato Umeton},
  volume = {13164},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-95470-3},
}