The core idea in this line of work has been the strict requirement that the team of experts assigned to complete a given task should contain a superset of the skills required by the task.
In contrast, computer scientists primarily view it as a demand prediction problem with the goal of preemptively repositioning supply to such neighborhoods using black box coordinated multi agent deep reinforcement learning based approaches.
In this paper, we provide algorithms for outsourcing and hiring workers in a general setting, where workers form a team and contribute different skills to perform a task.
Order&Extend is able identify and alleviate insufficient information by judiciously querying a small number of additional entries.
The goal is to teach students within time frame d such that their potential for learning is maximized and find the best schedule for each group.