Benoît Girard
- Institut des Systèmes Intelligents et de Robotique (ISIR)
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benoit-girard
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0000-0002-8117-7064
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089381092
- ResearcherID : C-2374-2009
Présentation
Chercheur interdisciplinaire intéressé par la prise de décision et l'apprentissage par renforcement chez l'animal et le robot.
Publications
Publications
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TaVAR : extension et premières observationsDrôles d'objets - Un nouvel art de faire, Virginie André; Joffrey Becker; Yann Boniface; Amine Boumaza; Dominique Deuff; Alain Dutech; Laeticia Gros; Manuel Rebuschi; Nicolas Rougier; Frédéric Verhaegen, Jun 2025, Lannion, France |
TaVAR : Une Table lumineuse pour Vulgariser l'Apprentissage par Renforcement 1Drôles d'objets, May 2023, Nancy (France), France |
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Exploration of the respective roles ans basal ganglia in catatonia with a computational modelFENS, Jul 2022, Paris, France |
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Coping with the variability in humans reward during simulated human-robot interactions through the coordination of multiple learning strategies29th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN 2020), Aug 2020, Naples (en ligne), Italy. ⟨10.1109/RO-MAN47096.2020.9223451⟩ |
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How to reduce computation time while sparing performance during robot navigation? A neuro-inspired architecture for autonomous shifting between model-based and model-free learningLiving Machines, Jul 2020, Freiburg (on line conference), Germany. ⟨10.1007/978-3-030-64313-3_8⟩ |
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Prioritized Sweeping Neural DynaQ with Multiple Predecessors, and Hippocampal ReplaysBiomimetic and Biohybrid Systems. Living Machines 2018., Jul 2018, Paris, France. pp.16-27, ⟨10.1007/978-3-319-95972-6_4⟩ |
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Sequential Action Selection for Budgeted Localization in RobotsIEEE Robotic Computing 2017, IEEE, Apr 2017, Taichung, Taiwan. pp.97 - 100, ⟨10.1109/IRC.2017.19⟩ |
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Learning to interact with humans using goal-directed and habitual behaviorsRo-Man 2015, Workshop on Learning for Human-Robot Collaboration, Aug 2015, Kobe, Japan |
Robust Fusion of Trackers using on-line Drift Prediction.Advanced Concepts for Intelligent Vision Systems (ACIVS 2015), Oct 2015, Catane, Italy. pp.229-240, ⟨10.1007/978-3-319-25903-1_20⟩ |
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Which criteria for autonomously shifting between goal-directed and habitual behaviors in robots?2015 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob), Aug 2015, Providence, RI, United States. ⟨10.1109/devlrn.2015.7346152⟩ |
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Prédiction sélective des traitements pour le suivi d'objetORASIS 2015, Jun 2015, Amiens, France |
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Design of a Control Architecture for Habit Learning in RobotsThird International Conference, Living Machines 2014, Milan, Italy, Jul 2014, Milan, Italy. ⟨10.1007/978-3-319-09435-9_22⟩ |
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Learning a sequence of motor responses to attain reward: a speed-accuracy trade-offthe Twenty Second Annual Computational Neuroscience Meeting: CNS*2013, Jul 2013, paris, France. pp.P143 |
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Neuro-inspired Navigation Strategies Shifting for Robots: Integration of a Multiple Landmark Taxon StrategyLiving Machines 2012, Jul 2012, Barcelone, Spain. pp.62-73, ⟨10.1007/978-3-642-31525-1_6⟩ |
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Maximum entropy perception-action space: a Bayesian model of eye movement selection30th Conf. on Bayesian Methods and Maximum Entropy in Science and Engineering (MaxEnt2010), Jul 2010, Chamonix, France. ⟨10.1063/1.3573660⟩ |
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Decoding the Grid Cells for Metric Navigation Using the Residue Numeral SystemSecond International Conference on Cognitive Neurodynamics, Nov 2009, Hangzhou, China. ⟨10.1007/978-90-481-9695-1_73⟩ |
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Analyzing Interactions between Cue-Guided and Place-Based Navigation with a Computational Model of Action Selection: Influence of Sensory Cues and TrainingFrom Animals to Animats 11, Aug 2010, Paris, France. pp.335-346, ⟨10.1007/978-3-642-15193-4_32⟩ |
Eye-centered vs body-centered reaching control: A robotics insight into the neuroscience debateRobotics and Biomimetics (ROBIO), 2009 IEEE International Conference on, Dec 2009, Guilin, China. pp.568-573, ⟨10.1109/ROBIO.2009.5420609⟩ |
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Multi-Objective Evolutionary Algorithms to Investigate Neurocomputational Issues : The Case Study of Basal Ganglia ModelsFrom animals to animats 11: Simulation of Adaptive Behavior, Aug 2010, Paris, France. pp.597-606 |
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An Integrated Neuromimetic Model of the Saccadic Eye Movements for the Psikharpax Robot.International Conference on Simulation of Adaptive Behavior (SAB2010), Aug 2010, Paris, France. pp.114--125 |
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Importing the Computational Neuroscience Toolbox into Neuro-Evolution---Application to Basal GangliaGECCO'10, 2010, Portland, United States. pp.587-594, ⟨10.1145/1830483.1830592⟩ |
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Analyzing interactions between navigation strategies using a computational model of action selection.Spatial Cognition VI. Learning, Reasoning, and Talking about Space, Sep 2008, Freiburg, Germany. pp.71-86, ⟨10.1007/978-3-540-87601-4_8⟩ |
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Adaptive motivation in a biomimetic action selection mechanismDeuxième conférence française de Neurosciences Computationnelles, "Neurocomp08", Oct 2008, Marseille, France |
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Explicit uncertainty for eye movement selectionDeuxième conférence française de Neurosciences Computationnelles, "Neurocomp08", Oct 2008, Marseille, France |
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Implementation of a neurophysiological model of saccadic eye movements on an anthropomorphic robotic head6th IEEE-RAS International Conference on Humanoid Robots, Dec 2006, Gênes, Italy. pp.438-443, ⟨10.1109/ICHR.2006.321309⟩ |
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Selective amplification using a contracting model of the basal gangliaNeuroComp 2006, 2006, Pont A Mousson, France. pp.30-33 |
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Contracting model of the basal gangliaModeling Natural Action Selection, 2005, Edinburgh, United Kingdom. pp.69-76 |
State of the artificial rat PsikharpaxSAB 2004 - 8th International Conference on Simulation of Adaptive Behavior, Jul 2004, Los Angeles, CA, United States. pp.3-12 |
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Comparing three critic models of reinforcement learning in the basal ganglia connected to a detailed actor in a S-R task8th International Conference on Intelligent Autonomous Systems, Mar 2004, Amsterdam, Netherlands. pp.430-437 |
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An integration of two control architectures of action selection and navigation inspired by neural circuits in the vertebrates: The basal ganglia8th Neural Computation and Psychology Workshop, Aug 2004, University of Kent, United Kingdom. pp.72-81 |
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Comparing a bio-inspired robot action selection mechanism with winner-takes-all7th international conference on simulation of adaptive behavior, 2002, Edimburg, United Kingdom. pp.75-84 |
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Intelligence Artificielle Située et Jeux Vidéo4ème colloque Jeunes Chercheurs en Science Cognitives (CJC4), May 2001, Lyon, France. pp.157-160 |
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From Animals to Animats 11Springer, 6226, 2010, LNAI, 978-3-642-15192-7. ⟨10.1007/978-3-642-15193-4⟩ |
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When Artificial Intelligence and Computational Neuroscience meetSpringer. A guided tour of artificial intelligence research, Interfaces and applications of artificial intelligence, 3, 2020, Interfaces and Applications of Artificial Intelligence, 978-3-030-06170-8 |
Basal Ganglia: Control of SaccadesDieter Jaeger; Ranu Jung. Encyclopedia of Computational Neuroscience, Springer, 2014, 978-1-4614-7320-6. ⟨10.1007/978-1-4614-7320-6_516-1⟩ |
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Intégration de la navigation et de la sélection de l'action dans une architecture de contrôle inspirée des ganglions de la baseNeurosciences [q-bio.NC]. Université Pierre et Marie Curie - Paris VI, 2003. Français. ⟨NNT : ⟩ |
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Modélisation neuromimétique : Sélection de l'action, navigation et exécution motriceNeurosciences [q-bio.NC]. Université Pierre et Marie Curie - Paris VI, 2010 |