Toward Real-Time Decentralized Reinforcement Learning Using Finite Support Basis Functions

Kenzo Lobos-Tsunekawa, David Leonardo Leottau, Javier Ruiz-del-Solar. Toward Real-Time Decentralized Reinforcement Learning Using Finite Support Basis Functions. In Hidehisa Akiyama, Oliver Obst, Claude Sammut, Flavio Tonidandel, editors, RoboCup 2017: Robot World Cup XXI [Nagoya, Japan, July 27-31, 2017]. Volume 11175 of Lecture Notes in Computer Science, pages 95-107, Springer, 2017. [doi]

@inproceedings{Lobos-Tsunekawa17,
  title = {Toward Real-Time Decentralized Reinforcement Learning Using Finite Support Basis Functions},
  author = {Kenzo Lobos-Tsunekawa and David Leonardo Leottau and Javier Ruiz-del-Solar},
  year = {2017},
  doi = {10.1007/978-3-030-00308-1_8},
  url = {https://doi.org/10.1007/978-3-030-00308-1_8},
  researchr = {https://researchr.org/publication/Lobos-Tsunekawa17},
  cites = {0},
  citedby = {0},
  pages = {95-107},
  booktitle = {RoboCup 2017: Robot World Cup XXI [Nagoya, Japan, July 27-31, 2017]},
  editor = {Hidehisa Akiyama and Oliver Obst and Claude Sammut and Flavio Tonidandel},
  volume = {11175},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-00308-1},
}