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  • Thomas Pierrot

  • Doctorant
  • Équipe: Amac

Publications

  • Thomas Pierrot, Valentin Macé, Felix Chalumeau, Arthur Flajolet, Geoffrey Cideron, et al.. Diversity policy gradient for sample efficient quality-diversity optimization. GECCO '22: Genetic and Evolutionary Computation Conference, Jul 2022, Boston, United States. pp.1075-1083, ⟨10.1145/3512290.3528845⟩. ⟨hal-03864262⟩
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  • Thomas Pierrot, Valentin Macé, Felix Chalumeau, Arthur Flajolet, Geoffrey Cideron, et al.. DIVERSITY POLICY GRADIENT FOR SAMPLE EFFI-CIENT QUALITY-DIVERSITY OPTIMIZATION. Workshop on Agent Learning in Open-Endedness (ALOE) at ICLR 2022, 2022, virtual, Vatican City. ⟨hal-03753541⟩
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  • Thomas Pierrot, Nicolas Perrin-Gilbert, Olivier Sigaud. First-Order and Second-Order Variants of the Gradient Descent in a Unified Framework. 30th International Conference on Artificial Neural Networks - ICANN 2021, Sep 2021, Bratislava, Slovakia. pp.197-208, ⟨10.1007/978-3-030-86340-1_16⟩. ⟨hal-03404369⟩
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  • Thomas Pierrot, Nicolas Perrin, Olivier Sigaud. First-order and second-order variants of the gradient descent in a unified framework. 2019. ⟨hal-02397757⟩
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