1 citations · 1 across the 2 of their papers we have counts for
3 papers
math.OC2025
Optimization of Sums of Bivariate Functions: An Introduction to Relaxation-Based Methods for the Case of Finite Domains
Nils Müller
We study the optimization of functions with arguments that have a representation as a sum of several functions that have only of the arguments each, termed sums of bi…
math.OC2020★ 1 cited
Non-local Optimization: Imposing Structure on Optimization Problems by Relaxation
Nils Müller, Tobias Glasmachers
In stochastic optimization, particularly in evolutionary computation and reinforcement learning, the optimization of a function is often addressed through opti…
cs.NE2018
Challenges in High-dimensional Reinforcement Learning with Evolution Strategies
Nils Müller, Tobias Glasmachers
Evolution Strategies (ESs) have recently become popular for training deep neural networks, in particular on reinforcement learning tasks, a special form of controller design. Compa…