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Marco Forgione

Integrating Reinforcement Learning with Foundation Models for Autonomous Robotics: Methods and Perspectives

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Oct 21, 2024
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Enhanced Transformer architecture for in-context learning of dynamical systems

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Oct 04, 2024
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RoboMorph: In-Context Meta-Learning for Robot Dynamics Modeling

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Sep 18, 2024
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Model order reduction of deep structured state-space models: A system-theoretic approach

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Mar 21, 2024
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Synthetic data generation for system identification: leveraging knowledge transfer from similar systems

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Mar 08, 2024
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On the adaptation of in-context learners for system identification

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Dec 07, 2023
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In-context learning for model-free system identification

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Aug 25, 2023
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Neural State-Space Models: Empirical Evaluation of Uncertainty Quantification

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Apr 13, 2023
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Learning neural state-space models: do we need a state estimator?

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Jun 26, 2022
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On the adaptation of recurrent neural networks for system identification

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Jan 21, 2022
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