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Plos One|July 14, 2016
Robustness to Faults Promotes Evolvability: Insights from Evolving Digital CircuitsNicola Milano, Stefano NolfiPlos One|April 15, 2021
Autonomous learning of features for control: Experiments with embodied and situated agentsNicola Milano, Stefano NolfiArtificial Life|May 28, 2024
Interaction Rules Supporting Effective Flocking BehaviorNicola Milano, Stefano NolfiFrontiers in Robotics and AI|October 21, 2022
Phenotypic complexity and evolvability in evolving robotsNicola Milano, Stefano NolfiScientific Reports|April 27, 2021
Automated curriculum learning for embodied agents a neuroevolutionary approachNicola Milano, Stefano NolfiFrontiers in Robotics and AI|January 27, 2021
Efficacy of Modern Neuro-Evolutionary Strategies for Continuous Control OptimizationPaolo Pagliuca, Nicola Milano, Stefano NolfiPlos One|July 19, 2018
Maximizing adaptive power in neuroevolutionPaolo Pagliuca, Nicola Milano, Stefano NolfiArtificial Life|January 26, 2019
Moderate Environmental Variation Across Generations Promotes the Evolution of Robust SolutionsNicola Milano, Jônata Tyska Carvalho, Stefano NolfiFrontiers in Robotics and AI|February 5, 2025
Global progress in competitive co-evolution: a systematic comparison of alternative methodsStefano Nolfi, Paolo PagliucaCognitive Processing|August 2, 2015
Selection-for-action emerges in neural networks trained to learn spatial associations between stimuli and actionsLuca Simione, Stefano NolfiPageof 4