Hakuei Yamada

Learning Fair Division from Bandit Feedback

This work addresses learning online fair division under uncertainty, where a central planner sequentially allocates items without precise knowledge of agents’ values or utilities. Departing from conventional online algorithms, the planner here relies on noisy, estimated values obtained after allocat…