Two research teams have documented how algorithmic pay finds the minimum a worker will accept and the US is the market where ...

Recognition, distortion, and the organizing infrastructure behind Minnesota's response to Operation Metro Surge.

Now is the time to design better UI for AI and—god forbid—help people collaborate rather than compete. Today’s ubiquitous, ...

Abstract: This article proposes a distributed time-varying optimization approach to address the dynamic resource allocation problem, leveraging a sliding mode technique. The algorithm integrates a ...

Wealth managers are steadily increasing client allocations to private markets, but the infrastructure supporting those ...

Objective The purpose of this study is to analyse the changes in the equity of intensive care unit (ICU) bed allocation in 14 cities in China’s Guangxi Zhuang Autonomous Region from 2018 to 2021, to ...

The gap between donor organ supply and demand goes beyond being a medical issue—understanding why these gaps exist requires an examination of the unique tensions at the center of the U.S. transplant ...

Multi-agent task allocation plays a crucial role in achieving efficient collaboration in heterogeneous multi-agent systems, especially in complex and dynamic environments. However, existing ...

0267_RL_for_resource_allocation/ ├── src/ # Source code │ ├── agents/ # RL agents implementation │ │ ├── __init__.py │ │ └── agents.py # PPO, SAC, TD3, Policy Gradient │ ├── envs/ # Environment ...

I’ve heard this statement countless times throughout my career at Fortune 100 companies. Yet after leading teams through turnarounds at Sprint, transformations at T-Mobile and strategic initiatives at ...