Milano, Nicola

Milano, Nicola  

Istituto di Scienze e Tecnologie della Cognizione - ISTC  

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Titolo Data di pubblicazione Autore(i) File
Interaction Rules Supporting Effective Flocking Behavior 1-gen-2024 Milano, N.; Nolfi, S.
Qualitative differences between evolutionary strategies and reinforcement learning methods for control of autonomous agents 1-gen-2024 Milano, N.; Nolfi, S.
Automated Categorization of Behavioral Quality Through Deep Neural Networks 1-gen-2022 Pagliuca, P.; Milano, N.; Nolfi, S.
Phenotypic complexity and evolvability in evolving robots 1-gen-2022 Milano, N.; Nolfi, S.
Automated curriculum learning for embodied agents a neuroevolutionary approach 1-gen-2021 Milano, N.; Nolfi, S.
Autonomous learning of features for control: Experiments with embodied and situated agents 1-gen-2021 Milano, N.; Nolfi, S.
Efficacy of Modern Neuro-Evolutionary Strategies for Continuous Control Optimization 1-gen-2020 Pagliuca, Paolo; Milano, Nicola; Nolfi, Stefano
Moderate Environmental Variation Across Generations Promotes the Evolution of Robust Solutions 1-gen-2019 Milano N.; Carvalho J.T.; Nolfi S.
Robustness, evolvability and phenotypic complexity: insights from evolving digital circuits 1-gen-2019 Milano, N; Pagliuca, P; Nolfi, S
Evolving Robust Solutions for Stochastically Varying Problems 1-gen-2018 Carvalho, Jonata Tyska; Milano, Nicola; Nolfi, Stefano
Maximizing adaptive power in neuroevolution 1-gen-2018 Pagliuca, Paolo; Milano, Nicola; Nolfi, Stefano
Environmental Variations Promotes Adaptation in Artificial Evolution 1-gen-2017 Milano, Nicola; Carvalho Jonata, Tyska; Nolfi, Stefano
Robustness to Faults Promotes Evolvability: Insights from Evolving Digital Circuits 1-gen-2016 Milano, Nicola; Nolfi, Stefano