Nicola Milano
Orcid: 0000-0002-1604-5161
According to our database1,
Nicola Milano
authored at least 18 papers
between 2017 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Qualitative differences between evolutionary strategies and reinforcement learning methods for control of autonomous agents.
Evol. Intell., April, 2024
Exploring Spatial Cognition: Comparative Analysis of Agent-Based Models in Dynamic and Static Environments.
Proceedings of the Artificial Intelligence for Neuroscience and Emotional Systems, 2024
2023
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.
Proceedings of the Italia Intelligenza Artificiale, 2023
2022
Frontiers Robotics AI, 2022
Proceedings of the IEEE International Conference on Metrology for Extended Reality, 2022
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.
PhD thesis, 2021
Enhancing Cartesian genetic programming through preferential selection of larger solutions.
Evol. Intell., 2021
CoRR, 2021
2020
Efficacy of Modern Neuro-Evolutionary Strategies for Continuous Control Optimization.
Frontiers Robotics AI, 2020
Autonomous Learning of Features for Control: Experiments with Embodied and Situated Agents.
CoRR, 2020
2019
Robustness, evolvability and phenotypic complexity: insights from evolving digital circuits.
Evol. Intell., 2019
2018
Scaling Up Cartesian Genetic Programming through Preferential Selection of Larger Solutions.
CoRR, 2018
Moderate Environmental Variation Across Generations Promotes the Evolution of Robust Solutions.
Artif. Life, 2018
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018
2017
CoRR, 2017
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017