output
20062026
most citedHigher harmonic anisotropic flow measurements of charged particles in Pb-Pb collisions at 2.76 TeV

643 citations

Showing 2019Show all

5 papers · 1 filter

cs.IR2019★ 25 cited

An Investigation of Biases in Web Search Engine Query Suggestions

Malte Bonart, Anastasiia Samokhina, Gernot Heisenberg +1

Survey-based studies suggest that search engines are trusted more than social media or even traditional news, although cases of false information or defamation are known. In this s…

cs.NE2019★ 9 cited

Surrogate Models for Enhancing the Efficiency of Neuroevolution in Reinforcement Learning

Jörg Stork, Martin Zaefferer, Thomas Bartz-Beielstein +1

In the last years, reinforcement learning received a lot of attention. One method to solve reinforcement learning tasks is Neuroevolution, where neural networks are optimized by ev…

cs.NE2019★ 8 cited

Prediction of neural network performance by phenotypic modeling

Alexander Hagg, Martin Zaefferer, Jörg Stork +1

Surrogate models are used to reduce the burden of expensive-to-evaluate objective functions in optimization. By creating models which map genomes to objective values, these models…

cs.AI2019

General Board Game Playing for Education and Research in Generic AI Game Learning

Wolfgang Konen

We present a new general board game (GBG) playing and learning framework. GBG defines the common interfaces for board games, game states and their AI agents. It allows one to run c…

cs.NE2019★ 1 cited

Improving NeuroEvolution Efficiency by Surrogate Model-based Optimization with Phenotypic Distance Kernels

Jörg Stork, Martin Zaefferer, Thomas Bartz-Beielstein

In NeuroEvolution, the topologies of artificial neural networks are optimized with evolutionary algorithms to solve tasks in data regression, data classification, or reinforcement…