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Author

Gabriele Pascali

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Jul 2026

HypEMBER: Hypernetwork-based Ensemble for Robust Policy Learning of Parametrized Dynamical Systems

Numerical results demonstrate that HypEMBER consistently improves training stability and sample efficiency, while achieving superior robustness to uncertainties affecting both the system dynamics and the available observations, in comparison with state-of-the-art RL methods.

Nicolò Botteghi, Gabriele Pascali, Urban Fasel et al. · 0 citations

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