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Iago Bonnici
10
Documents
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- iago-bonnici
- 0000-0003-2934-351X
Présentation
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Nanopore sequencing of PCR products enables multicopy gene family reconstructionComputational and Structural Biotechnology Journal, 2023, 21, pp.3656-3664. ⟨10.1016/j.csbj.2023.07.012⟩
Article dans une revue
hal-04253899v1
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Input Addition and Deletion in Reinforcement: Towards Protean LearningAutonomous Agents and Multi-Agent Systems, 2022, 36 (1), pp.#4. ⟨10.1007/s10458-021-09534-6⟩
Article dans une revue
hal-03432057v1
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Trends and Peaks analysis in R with the ‘tapas’ packageLong-term fire-vegetation change: data-based challenges, Institute of Geography, University of Göttingen, Germany, Feb 2023, Göttingen, Germany
Communication dans un congrès
hal-04308913v1
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Input Addition and Deletion in Reinforcement: Towards Learning with Structural ChangesAAMAS 2020 - 19th International Conference on Autonomous Agents and Multiagent Systems, May 2020, Auckland, New Zealand. pp.177-185, ⟨10.5555/3398761.3398787⟩
Communication dans un congrès
hal-02879819v1
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Effects of Input Addition in Learning for Adaptive Games: Towards Learning with Structural ChangesEvoApplications 2019 - 22nd International Conference on the Applications of Evolutionary Computation, Apr 2019, Leipzig, Germany. pp.172-184, ⟨10.1007/978-3-030-16692-2_12⟩
Communication dans un congrès
lirmm-02127618v1
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Formalisation of metamorph Reinforcement Learning[Technical Report] LIRMM (UM, CNRS). 2018
Rapport
hal-01924642v1
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Promels[Research Report] LIRMM. 2016
Rapport
lirmm-01294560v1
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Biose[Research Report] LIRMM. 2016
Rapport
lirmm-01294597v1
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Vers un apprentissage protéiforme : accomoder les changements de signature des agents artificiels.Intelligence artificielle [cs.AI]. Université Montpellier, 2021. Français. ⟨NNT : 2021MONTS034⟩
Thèse
tel-03414933v1
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