Recursive self-improvement AI now has a co-evolving evaluator: a Cambridge and NVIDIA preprint introduces the Red Queen Gödel ...
Abstract: Many distributed optimization algorithms critically depend on careful step-size tuning to ensure stability and achieve fast convergence. In this work, we address this limitation in the ...
Abstract: We consider a nonlinear discrete stochastic control system, and our goal is to design afeedback control policy in order to lead the system to a prespecified state. We adopt a Stochastic ...