Nicola Milano

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 21

Top Topics

Financial Forecasting

Reinforcement Learning

Situated Agents

Top Venues

Frontiers Robotics AI

Publications

Maria Luongo, Michela Ponticorvo, Nicola Milano
Exploring Spatial Cognition: Comparative Analysis of Agent-Based Models in Dynamic and Static Environments. IWINAC (2024)
Nicola Milano, Stefano Nolfi
Qualitative differences between evolutionary strategies and reinforcement learning methods for control of autonomous agents. Evol. Intell. 17 (2) (2024)
Monica Casella, Pasquale Dolce, Raffaella Esposito, Maria Luongo, Davide Marocco, Nicola Milano, Michela Ponticorvo, Roberta Simeoli
Exploring Psychological Data by Integrating Explanatory and Predictive Approaches through Artificial Neural Networks: A Brief Overview of Current Applications. Ital-IA (2023)
Raffaella Esposito, Monica Casella, Nicola Milano, Davide Marocco
Autoencoders as a Tool to Detect Nonlinear Relationships in Latent Variables Models. MetroXRAINE (2023)
Nicola Milano, Stefano Nolfi
Qualitative Differences Between Evolutionary Strategies and Reinforcement Learning Methods for Control of Autonomous Agents. CoRR (2022)
Nicola Milano, Stefano Nolfi
Phenotypic complexity and evolvability in evolving robots. Future Internet 9 (2022)
Paolo Pagliuca, Nicola Milano, Stefano Nolfi
Automated Categorization of Behavioral Quality Through Deep Neural Networks. MetroXRAINE (2022)
Nicola Milano, Stefano Nolfi
Phenotypic complexity and evolvability in evolving robots. Frontiers Robotics AI 9 (2022)
Nicola Milano, Michela Ponticorvo
Spatial Frames of Reference and Action: A Study with Evolved Neuro-agents. IWINAC (1) (2022)
Nicola Milano, Stefano Nolfi
Enhancing Cartesian genetic programming through preferential selection of larger solutions. Evol. Intell. 14 (4) (2021)
Nicola Milano, Stefano Nolfi
Automated Curriculum Learning for Embodied Agents: A Neuroevolutionary Approach. CoRR (2021)
Nicola Milano, Stefano Nolfi
Autonomous Learning of Features for Control: Experiments with Embodied and Situated Agents. CoRR (2020)
Paolo Pagliuca, Nicola Milano, Stefano Nolfi
Efficacy of Modern Neuro-Evolutionary Strategies for Continuous Control Optimization. Frontiers Robotics AI 7 (2020)
Nicola Milano, Paolo Pagliuca, Stefano Nolfi
Robustness, evolvability and phenotypic complexity: insights from evolving digital circuits. Evol. Intell. 12 (1) (2019)
Paolo Pagliuca, Nicola Milano, Stefano Nolfi
Efficacy of Modern Neuro-Evolutionary Strategies for Continuous Control Optimization. CoRR (2019)
Nicola Milano, Stefano Nolfi
Scaling Up Cartesian Genetic Programming through Preferential Selection of Larger Solutions. CoRR (2018)
Nicola Milano, Jônata Tyska Carvalho, Stefano Nolfi
Moderate Environmental Variation Across Generations Promotes the Evolution of Robust Solutions. Artif. Life 24 (4) (2018)
Jônata Tyska Carvalho, Nicola Milano, Stefano Nolfi
Evolving Robust Solutions for Stochastically Varying Problems. CEC (2018)
Nicola Milano, Jônata Tyska Carvalho, Stefano Nolfi
Moderate Environmental Variation Promotes Adaptation in Artificial Evolution. CoRR (2017)
Nicola Milano, Paolo Pagliuca, Stefano Nolfi
Robustness, Evolvability and Phenotypic Complexity: Insights from Evolving Digital Circuits. CoRR (2017)
Nicola Milano, Jônata Tyska Carvalho, Stefano Nolfi
Environmental variations promotes adaptation in artificial evolution. SSCI (2017)