Abstract: A differential dynamic programming (DDP)-based framework for inverse reinforcement learning (IRL) is introduced to recover the parameters in the cost function, system dynamics, and ...

Analog computers are systems that perform computations by manipulating physical quantities such as electrical current, that map math variables, instead of representing information using abstraction ...

Recognition highlights Genpact's robust service orchestration, AI investments, and expanded partnerships with leading tech providers and hyperscalers About GenpactGenpact (NYSE: G) is an agentic and ...

When supply chain practitioners think about forecasting, they focus on demand forecasting. Demand forecasting is essential, but the number of different forecasts that an effective organization should ...

In the current environment of shifting tariff rates and ongoing trade deal negotiations between the United States and other countries, businesses continue to struggle to figure out how to preserve ...

Quick-service and fast-food restaurants typically collect data on customers' purchasing behaviors. With the help of AI, they can now leverage their data to better manage inventory and operations. This ...

Dozens of machine learning algorithms require computing the inverse of a matrix. Computing a matrix inverse is conceptually easy, but implementation is one of the most challenging tasks in numerical ...

Discovering faster algorithms for matrix multiplication remains a key pursuit in computer science and numerical linear algebra. Since the pioneering contributions of Strassen and Winograd in the late ...

Organized crime rings have been attacking cargo trucks, train cars and warehouses across the United States at record rates using a sneaky new strategy, according to a report. Behind this phenomenon ...