Train Small, Deploy Big: Do Relative World Views Permit Swarm-Safety During Policy Transplantation for Multi-Agent Reinforcement Learning Problems?

Bradley Fraser, Giuseppe Laurito. Train Small, Deploy Big: Do Relative World Views Permit Swarm-Safety During Policy Transplantation for Multi-Agent Reinforcement Learning Problems?. In Marcus Gallagher, Nour Moustafa, Erandi Lakshika, editors, AI 2020: Advances in Artificial Intelligence - 33rd Australasian Joint Conference, AI 2020, Canberra, ACT, Australia, November 29-30, 2020, Proceedings. Volume 12576 of Lecture Notes in Computer Science, pages 269-280, Springer, 2020. [doi]

@inproceedings{FraserL20-0,
  title = {Train Small, Deploy Big: Do Relative World Views Permit Swarm-Safety During Policy Transplantation for Multi-Agent Reinforcement Learning Problems?},
  author = {Bradley Fraser and Giuseppe Laurito},
  year = {2020},
  doi = {10.1007/978-3-030-64984-5_21},
  url = {https://doi.org/10.1007/978-3-030-64984-5_21},
  researchr = {https://researchr.org/publication/FraserL20-0},
  cites = {0},
  citedby = {0},
  pages = {269-280},
  booktitle = {AI 2020: Advances in Artificial Intelligence - 33rd Australasian Joint Conference, AI 2020, Canberra, ACT, Australia, November 29-30, 2020, Proceedings},
  editor = {Marcus Gallagher and Nour Moustafa and Erandi Lakshika},
  volume = {12576},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-64984-5},
}