The COVID-19 pandemic, refugee crises, climate change—these global problems have exposed the need for public goods that are likewise global. What are public goods, and how can they be supplied ...

Abstract: A distributed multiagent deep reinforcement learning algorithm (DMADRLA) with theoretical guarantees is proposed for the distributed nonconvex constraint optimization problem. This algorithm ...

Efficiently solving constrained optimization problems is crucial for numerous real-world applications, yet traditional solvers are often computationally prohibitive for real-time use. Machine learning ...

Space reports are a valuable resource for the campus to utilize to understand the current state of space along with trends of space usage and forecasting future needs.

We consider the optimal scheduling of hydropower plants in a hydrothermal interconnected system. This problem, of outmost importance for large-scale power systems with a high proportion of hydraulic ...