If the U.S. Supreme Court rules that many of President Donald Trump's tariffs are illegal, billions of dollars in refunds could be due to companies, but trade attorneys caution the refund process ...

Abstract: In this work, we consider multiagent reinforcement learning for constrained Markov decision processes and develop a consensus-based primal–dual method to solve the problem, which is ...

An executive order signed in March charged U.S. Customs and Border Protection with modernizing its manual payment system. The new digital system will play a key role in any tariff refunds, and ...

Your star employee just quit, and with them went the institutional knowledge behind your company’s most profitable product line. The decisions that led to its success? Lost forever. This scenario ...

Shen et al. present a computational account of individual differences in mouse exploration when faced with a novel object in an open field from a previously published study (Akiti et al.) that relates ...

But many facilities still face barriers — such as staffing shortages, inconsistent staffing, poor communication and a lack of formal protocols — when trying to better incorporate frontline workers in ...

Smart leaders with vast data still make bad decisions. But others, under similar pressure, make game-changing ones. In 1982, Johnson & Johnson swiftly recalled 31 million bottles of Tylenol after ...

Imagine someone offers you a chance to win a thousand dollars. All you need to do is roll a six on a standard die. The catch? You must pay $500 upfront, and if any other number comes up, you get ...

ZURICH, SWITZERLAND – September 23, 2025 – A groundbreaking study by the Global Association of Applied Behavioural Scientists (GAABS) has uncovered a troubling disconnect between professionals' ...

Learnable MAPF. “Distributed Heuristic Multi-Agent Path Finding with Communication” (DHC) algorithm from ICRA 2021 is implemented and benchmarked in out-of-distribution (OOD) scenarios. A new robust ...