publications

2025

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    Epistemically-guided forward-backward exploration
    Núria Armengol Urpı́, Marin Vlastelica, Georg Martius, and 1 more author
    In Reinforcement Learning Conference, 2025
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    CAIMAN: Causal Action Influence Detection for Sample-efficient Loco-manipulation
    Yuanchen Yuan, Jin Cheng, Núria Armengol Urpı́, and 1 more author
    2025

2024

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    Causal Action Influence Aware Counterfactual Data Augmentation
    Núria Armengol Urpí, Marco Bagatella, Marin Vlastelica, and 1 more author
    In Forty-first International Conference on Machine Learning, 2024
    PDF

2023

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    Efficient Learning of High Level Plans from Play
    Núria Armengol Urpí, Marco Bagatella, Otmar Hilliges, and 2 more authors
    In International Conference on Robotics and Automation, 2023
    PDF

2021

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    Risk-Averse Offline Reinforcement Learning
    Núria Armengol Urpí, Sebastian Curi, and Andreas Krause
    In International Conference on Learning Representations, 2021
    PDF

2020

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    Error estimation and correction in a spiking neural network for map formation in neuromorphic hardware
    Raphaela Kreiser, Gabriel Waibel, Nuria Armengol Urpí, and 2 more authors
    In 2020 IEEE International Conference on Robotics and Automation (ICRA), 2020
    PDF

2019

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    Decoding movements from cortical ensemble activity using a long short-term memory recurrent network
    Po-He Tseng, Núria Armengol Urpí Urpi, Mikhail Lebedev, and 1 more author
    Neural computation, 2019
    PDF
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    Analysis of neuronal ensemble activity reveals the pitfalls and shortcomings of rotation dynamics
    Mikhail A Lebedev, Alexei Ossadtchi, Nil Adell Mill, and 3 more authors
    Scientific reports, 2019