Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Paolo Pagliuca
Stefano Nolfi

Showing results (1-10 of 33) with videos related to

Pageof 4
Sort By:
Frontiers in Robotics and AI|February 5, 2025
Global progress in competitive co-evolution: a systematic comparison of alternative methodsStefano Nolfi, Paolo Pagliuca
Plos One|March 2, 2019
Robust optimization through neuroevolutionPaolo Pagliuca, Stefano Nolfi
Frontiers in Robotics and AI|January 27, 2021
Efficacy of Modern Neuro-Evolutionary Strategies for Continuous Control OptimizationPaolo Pagliuca, Nicola Milano, Stefano Nolfi
Plos One|July 19, 2018
Maximizing adaptive power in neuroevolutionPaolo Pagliuca, Nicola Milano, Stefano Nolfi
Frontiers in Robotics and AI|November 10, 2022
Progress and challenges in adaptive roboticsStefano Nolfi
Cognitive Processing|August 2, 2015
Selection-for-action emerges in neural networks trained to learn spatial associations between stimuli and actionsLuca Simione, Stefano Nolfi
Entropy (Basel, Switzerland)|December 3, 2020
Making the Environment an Informative Place: A Conceptual Analysis of Epistemic Policies and Sensorimotor CoordinationGiovanni Pezzulo, Stefano Nolfi
Plos One|November 16, 2016
The Emergence of Selective Attention through Probabilistic Associations between Stimuli and ActionsLuca Simione, Stefano Nolfi
Plos One|July 14, 2016
Robustness to Faults Promotes Evolvability: Insights from Evolving Digital CircuitsNicola Milano, Stefano Nolfi
Plos One|April 15, 2021
Autonomous learning of features for control: Experiments with embodied and situated agentsNicola Milano, Stefano Nolfi
Pageof 4

Showing results (1-10 of 33) with videos related to

Sort By:
Pageof 4
Frontiers in Robotics and AI|February 5, 2025
Global progress in competitive co-evolution: a systematic comparison of alternative methodsStefano Nolfi, Paolo Pagliuca
Plos One|March 2, 2019
Robust optimization through neuroevolutionPaolo Pagliuca, Stefano Nolfi
Frontiers in Robotics and AI|January 27, 2021
Efficacy of Modern Neuro-Evolutionary Strategies for Continuous Control OptimizationPaolo Pagliuca, Nicola Milano, Stefano Nolfi
Plos One|July 19, 2018
Maximizing adaptive power in neuroevolutionPaolo Pagliuca, Nicola Milano, Stefano Nolfi
Frontiers in Robotics and AI|November 10, 2022
Progress and challenges in adaptive roboticsStefano Nolfi
Cognitive Processing|August 2, 2015
Selection-for-action emerges in neural networks trained to learn spatial associations between stimuli and actionsLuca Simione, Stefano Nolfi
Entropy (Basel, Switzerland)|December 3, 2020
Making the Environment an Informative Place: A Conceptual Analysis of Epistemic Policies and Sensorimotor CoordinationGiovanni Pezzulo, Stefano Nolfi
Plos One|November 16, 2016
The Emergence of Selective Attention through Probabilistic Associations between Stimuli and ActionsLuca Simione, Stefano Nolfi
Plos One|July 14, 2016
Robustness to Faults Promotes Evolvability: Insights from Evolving Digital CircuitsNicola Milano, Stefano Nolfi
Plos One|April 15, 2021
Autonomous learning of features for control: Experiments with embodied and situated agentsNicola Milano, Stefano Nolfi
Pageof 4