June 11, 2024, 4:48 a.m. | Amir Ali Ahmadi, Abraar Chaudhry, Vikas Sindhwani, Stephen Tu

cs.LG updates on arXiv.org arxiv.org

arXiv:2305.12284v2 Announce Type: replace-cross
Abstract: A fundamental challenge in learning an unknown dynamical system is to reduce model uncertainty by making measurements while maintaining safety. We formulate a mathematical definition of what it means to safely learn a dynamical system by sequentially deciding where to initialize trajectories. The state of the system must stay within a safety region for a horizon of $T$ time steps under the action of all dynamical systems that (i) belong to a given initial uncertainty …

abstract arxiv challenge cs.lg cs.sy definition eess.sy fundamental learn making math.ds math.oc reduce replace safety state systems type uncertainty while

Senior Data Engineer

@ Displate | Warsaw

Principal Software Engineer

@ Microsoft | Prague, Prague, Czech Republic

Sr. Global Reg. Affairs Manager

@ BASF | Research Triangle Park, NC, US, 27709-3528

Senior Robot Software Developer

@ OTTO Motors by Rockwell Automation | Kitchener, Ontario, Canada

Coop - Technical Service Hub Intern

@ Teradyne | Santiago de Queretaro, MX

Coop - Technical - Service Inside Sales Intern

@ Teradyne | Santiago de Queretaro, MX