Dynamic Fair Division Problem with General Valuations

Abstract

In this paper, we focus on how to dynamically allocate a divisible resource fairly among n players who arrive and depart over time. The players may have general heterogeneous valuations over the resource. It is known that the exact envy-free and proportional allocations may not exist in the dynamic setting [Walsh, 2011]. Thus, we will study to what extent we can guarantee the fairness in the dynamic setting. We first design two algorithms which are O(log n)-proportional and O(n)-envy-free for the setting with general valuations, and by constructing the adversary instances such that all dynamic algorithms must be at least Omega(1)-proportional and Omega(n/log n)-envy-free, we show that the bounds are tight up to a logarithmic factor. Moreover, we introduce the setting where the players' valuations are uniform on the resource but with different demands, which generalize the setting of [Friedman et al., 2015]. We prove an O(log n) upper bound and a tight lower bound for this case.

Cite

Text

Li et al. "Dynamic Fair Division Problem with General Valuations." International Joint Conference on Artificial Intelligence, 2018. doi:10.24963/IJCAI.2018/52

Markdown

[Li et al. "Dynamic Fair Division Problem with General Valuations." International Joint Conference on Artificial Intelligence, 2018.](https://mlanthology.org/ijcai/2018/li2018ijcai-dynamic/) doi:10.24963/IJCAI.2018/52

BibTeX

@inproceedings{li2018ijcai-dynamic,
  title     = {{Dynamic Fair Division Problem with General Valuations}},
  author    = {Li, Bo and Li, Wenyang and Li, Yingkai},
  booktitle = {International Joint Conference on Artificial Intelligence},
  year      = {2018},
  pages     = {375-381},
  doi       = {10.24963/IJCAI.2018/52},
  url       = {https://mlanthology.org/ijcai/2018/li2018ijcai-dynamic/}
}