Abstract: Multi-Agent Path Finding (MAPF) involves finding collision-free paths for multiple agents while minimizing a cost function—an NP-hard problem. Bounded suboptimal methods like Enhanced ...

Thousands of people in the Seattle area lost their tech jobs in February, and for many, it’s an opportunity to reevaluate career goals. What job is right for you? What fits your skills and your ...

More than ten years ago, I had a very specific vision for my future and a dream career I believed I had to achieve. When that plan did not work out, it felt like everything was falling apart. But over ...

The words come out of economist Paul Krugman’s — or a simulacrum’s — mouth in an online video. The overall theme is America’s longstanding and continuing attempts to render other countries “economic ...

Abstract: In this study, we propose and develop a Machine Learning-based metasolver for the Multi-Agent Path Finding (MAPF) problem, with the aim of selecting the most suitable solver based on the ...