MAMBPO: Sample-efficient multi-robot reinforcement learning using learned world models

Daniël Willemsen, Mario Coppola, Guido C. H. E. de Croon. MAMBPO: Sample-efficient multi-robot reinforcement learning using learned world models. In IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2021, Prague, Czech Republic, September 27 - Oct. 1, 2021. pages 5635-5640, IEEE, 2021. [doi]

@inproceedings{WillemsenCC21,
  title = {MAMBPO: Sample-efficient multi-robot reinforcement learning using learned world models},
  author = {Daniël Willemsen and Mario Coppola and Guido C. H. E. de Croon},
  year = {2021},
  doi = {10.1109/IROS51168.2021.9635836},
  url = {https://doi.org/10.1109/IROS51168.2021.9635836},
  researchr = {https://researchr.org/publication/WillemsenCC21},
  cites = {0},
  citedby = {0},
  pages = {5635-5640},
  booktitle = {IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2021, Prague, Czech Republic, September 27 - Oct. 1, 2021},
  publisher = {IEEE},
  isbn = {978-1-6654-1714-3},
}