MPAX is a hardware-accelerated, differentiable, batchable, and distributable solver for mathematical programming in JAX, designed to integrate with modern computational and deep learning workflows: ...

We propose a new method for solving high-dimensional dynamic programming problems and recursive competitive equilibria with a large (but finite) number of heterogeneous agents using deep learning. We ...

Abstract: In this article, an event-triggered output-feedback adaptive optimal control approach is proposed for large-scale systems with parametric and dynamic uncertainties through robust adaptive ...

Authorities said on Dec. 16 that they launched a homicide investigation after a professor at the Massachusetts Institute of Technology was fatally shot at his home. Nuno F.G. Loureiro, a 47-year-old ...

Abstract: This letter introduces a differential dynamic programming (DDP) based framework for polynomial trajectory generation for differentially flat systems. In particular, instead of using a linear ...

Developers are navigating confusing gaps between expectation and reality. So are the rest of us. Depending who you ask, AI-powered coding is either giving software developers an unprecedented ...