March 27, 2024, 4:41 a.m. | Edvards Scukins, Markus Klein, Lars Kroon, Petter \"Ogren

cs.LG updates on arXiv.org arxiv.org

arXiv:2403.17533v1 Announce Type: new
Abstract: Creating new air combat tactics and discovering novel maneuvers can require numerous hours of expert pilots' time. Additionally, for each different combat scenario, the same strategies may not work since small changes in equipment performance may drastically change the air combat outcome. For this reason, we created a reinforcement learning environment to help investigate potential air combat tactics in the field of beyond-visual-range (BVR) air combat: the BVR Gym. This type of air combat is …

abstract arxiv beyond change cs.lg environment equipment expert novel performance reason reinforcement reinforcement learning small strategies tactics type visual work

Artificial Intelligence – Bioinformatic Expert

@ University of Texas Medical Branch | Galveston, TX

Lead Developer (AI)

@ Cere Network | San Francisco, US

Research Engineer

@ Allora Labs | Remote

Ecosystem Manager

@ Allora Labs | Remote

Founding AI Engineer, Agents

@ Occam AI | New York

AI Engineer Intern, Agents

@ Occam AI | US