Nicola Milano

According to our database, Nicola Milano authored at least 19 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Qualitative differences between evolutionary strategies and reinforcement learning methods for control of autonomous agents.

Nicola Milano, Stefano Nolfi

Evol. Intell., April, 2024

Exploring Spatial Cognition: Comparative Analysis of Agent-Based Models in Dynamic and Static Environments.

Maria Luongo, Michela Ponticorvo, Nicola Milano

Proceedings of the Artificial Intelligence for Neuroscience and Emotional Systems, 2024

LLM embeddings on test items predict post hoc loadings in personality tests.

Monica Casella, Maria Luongo, Davide Marocco, Nicola Milano, Michela Ponticorvo

Proceedings of the Ital-IA Intelligenza Artificiale, 2024

2023

Autoencoders as a Tool to Detect Nonlinear Relationships in Latent Variables Models.

Raffaella Esposito, Monica Casella, Nicola Milano, Davide Marocco

Proceedings of the IEEE International Conference on Metrology for eXtended Reality, 2023

Exploring Psychological Data by Integrating Explanatory and Predictive Approaches through Artificial Neural Networks: A Brief Overview of Current Applications.

Monica Casella, Pasquale Dolce, Raffaella Esposito, Maria Luongo, Davide Marocco, Nicola Milano, Michela Ponticorvo, Roberta Simeoli

Proceedings of the Italia Intelligenza Artificiale, 2023

2022

Phenotypic complexity and evolvability in evolving robots.

Nicola Milano, Stefano Nolfi

Frontiers Robotics AI, 2022

Automated Categorization of Behavioral Quality Through Deep Neural Networks.

Paolo Pagliuca, Nicola Milano, Stefano Nolfi

Proceedings of the IEEE International Conference on Metrology for Extended Reality, 2022

Spatial Frames of Reference and Action: A Study with Evolved Neuro-agents.

Nicola Milano, Michela Ponticorvo

Proceedings of the Bio-inspired Systems and Applications: from Robotics to Ambient Intelligence, 2022

2021

On the relation between robustness, evolvability and phenotypic complexity: insight from artificial evolutionary experiments.

Nicola Milano

PhD thesis, 2021

Enhancing Cartesian genetic programming through preferential selection of larger solutions.

Nicola Milano, Stefano Nolfi

Evol. Intell., 2021

Automated Curriculum Learning for Embodied Agents: A Neuroevolutionary Approach.

Nicola Milano, Stefano Nolfi

CoRR, 2021

2020

Efficacy of Modern Neuro-Evolutionary Strategies for Continuous Control Optimization.

Paolo Pagliuca, Nicola Milano, Stefano Nolfi

Frontiers Robotics AI, 2020

Autonomous Learning of Features for Control: Experiments with Embodied and Situated Agents.

Nicola Milano, Stefano Nolfi

CoRR, 2020

2019

Robustness, evolvability and phenotypic complexity: insights from evolving digital circuits.

Nicola Milano, Paolo Pagliuca, Stefano Nolfi

Evol. Intell., 2019

2018

Scaling Up Cartesian Genetic Programming through Preferential Selection of Larger Solutions.

Nicola Milano, Stefano Nolfi

CoRR, 2018

Moderate Environmental Variation Across Generations Promotes the Evolution of Robust Solutions.

Nicola Milano, Jônata Tyska Carvalho, Stefano Nolfi

Artif. Life, 2018

Evolving Robust Solutions for Stochastically Varying Problems.

Jônata Tyska Carvalho, Nicola Milano, Stefano Nolfi

Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

2017

Moderate Environmental Variation Promotes Adaptation in Artificial Evolution.

Nicola Milano, Jônata Tyska Carvalho, Stefano Nolfi

CoRR, 2017

Environmental variations promotes adaptation in artificial evolution.

Nicola Milano, Jônata Tyska Carvalho, Stefano Nolfi

Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017