A game-theoretic analysis of networked system control for common-pool resource management using multi-agent reinforcement learning

Arnu Pretorius, Scott Cameron, Elan Van Biljon, Tom Makkink, Shahil Mawjee, Jeremy du Plessis, Jonathan Shock, Alexandre Laterre, Karim Beguir. A game-theoretic analysis of networked system control for common-pool resource management using multi-agent reinforcement learning. In Hugo Larochelle, Marc'Aurelio Ranzato, Raia Hadsell, Maria-Florina Balcan, Hsuan-Tien Lin, editors, Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual. 2020. [doi]

@inproceedings{PretoriusCBMMPS20,
  title = {A game-theoretic analysis of networked system control for common-pool resource management using multi-agent reinforcement learning},
  author = {Arnu Pretorius and Scott Cameron and Elan Van Biljon and Tom Makkink and Shahil Mawjee and Jeremy du Plessis and Jonathan Shock and Alexandre Laterre and Karim Beguir},
  year = {2020},
  url = {https://proceedings.neurips.cc/paper/2020/hash/71c1806ca28b555c76650f52bb0d2810-Abstract.html},
  researchr = {https://researchr.org/publication/PretoriusCBMMPS20},
  cites = {0},
  citedby = {0},
  booktitle = {Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual},
  editor = {Hugo Larochelle and Marc'Aurelio Ranzato and Raia Hadsell and Maria-Florina Balcan and Hsuan-Tien Lin},
}