Home » Teams » Amac » Mehdi Khamassi
  • Mehdi Khamassi

  • Directeur de recherche
  • Équipe: Amac
  • Bureau: 65-66/306
  • Email: mehdi (dot) khamassi (at) sorbonne-universite (dot) fr
  • Telephone:+33 1 44 27 28 85
  • Addresse: ISIR, Campus Pierre et Marie Curie, 4 place Jussieu, BC173, 75005 Paris
  • Site web: https://pages2.isir.upmc.fr/mkhamassi/
  • Bio: Mehdi Khamassi est directeur de recherche employé par le Centre National de la Recherche Scientifique (CNRS), affecté à l'Institut des Systèmes Intelligents et de Robotique, sur le campus de Sorbonne Université, Paris, France. Il a une formation d'ingénieur (Ecole Nationale Supérieure d'Informatique pour l'Industrie et l'Entreprise / Conservatoire National des Arts et Métiers, Évry, 2003 ; spécialisations en intelligence artificielle et Modélisation statistique). Il est également diplômé du Cogmaster (2003) par l'Université Pierre et Marie Curie (UPMC), Paris. Il a ensuite effectué une thèse entre l'UPMC et le Collège de France (2007). Il sert également comme directeur des études pour le Cogmaster (Université Paris Sciences Lettres (Ecole Normale Supérieure) / Université de Paris / EHESS), et comme éditeur associé pour les journaux Intellectica, Frontiers in Neurorobotics, Frontiers in Decision Neuroscience, et Neurons, Behavior, Data analysis and Theory. Ses thèmes de recherche principaux incluent la prise de décision et l'apprentissage par renforcement chez les animaux et les robots, et le rôle des différents types de récompenses (sociales, non-sociales, informationnelles) dans l'apprentissage. Ses principales méthodes sont la modélisation computationnelle, la conception d'expériences pour tester les prédictions des modèles, l'analyse de données expérimentales, la conception d'algorithmes d'IA pour les robots, et l'expérimentation comportementale impliquant des humains, des animaux non-humains ou des robots.

Publications

  • Paris Oikonomou, Athanasios Dometios, Mehdi Khamassi, Costas Tzafestas (2021). Task Driven Skill Learning in a Soft-Robotic Arm*. 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2021)
  • I Rañó, Mehdi Khamassi, K Wong-Lin (2021). Stability Analysis of Bio-inspired Source Seeking with Noisy Sensors. 2021 European Control Conference (ECC)
  • Geoffrey Schoenbaum, Mehdi Khamassi, Mathias Pessiglione, Jay Gottfried, Elisabeth Murray (2021). The magical orbitofrontal cortex.. Behavioral Neuroscience Vol 135 Pages 108 - 108.
  • Marios Panayi, Mehdi Khamassi, Simon Killcross (2021). The rodent lateral orbitofrontal cortex as an arbitrator selecting between model-based and model-free learning systems. Behavioral Neuroscience Vol 135 Pages 226-244.
  • Mehdi Khamassi (2020). Adaptive coordination of multiple learning strategies in brains and robots. 9th International Conference on the Theory and Practice of Natural Computing (TPNC 2020)
  • Evelien H.S. Schut, Irene Navarro Lobato, Alejandra Alonso, Steven Smits, Mehdi Khamassi, Anumita Samanta, Moritz Negwer, Nael Kasri, Lisa Genzel (2020). The Object Space Task reveals increased expression of cumulative memory in a mouse model of Kleefstra syndrome. Neurobiology of Learning and Memory Vol 173 Pages 107265.
  • Rémi Dromnelle, Benoît Girard, Erwan Renaudo, Raja Chatila, Mehdi Khamassi (2020). Coping with the variability in humans reward during simulated human-robot interactions through the coordination of multiple learning strategies. IEEE RO-MAN 2020
  • Rémi Dromnelle, Benoît Girard, Erwan Renaudo, Raja Chatila, Mehdi Khamassi (2020). How to reduce computation time while sparing performance during robot navigation? A neuro-inspired architecture for autonomous shifting between model-based and model-free learning. Living Machines Vol 12413
  • Marco Wittmann, Elsa Fouragnan, Davide Folloni, Miriam Klein-Flügge, Bolton Chau, Mehdi Khamassi, Matthew Rushworth (2020). Global reward state affects learning and activity in raphe nucleus and anterior insula in monkeys. Nature Communications Vol 11
  • Mariacarla Staffa, Silvia Rossi, Adriana Tapus, Mehdi Khamassi (2020). Special Issue on Behavior Adaptation, Interaction, and Artificial Perception for Assistive Robotics. International Journal of Social Robotics Vol 12 Pages 613 - 616.
  • Stephane Doncieux, Nicolas Bredeche, Léni Le Goff, Benoît Girard, Alexandre Coninx, Olivier Sigaud, Mehdi Khamassi, Natalia Díaz-Rodríguez, David Filliat, Timothy Hospedales, Agoston Eiben, Richard Duro (2020). DREAM Architecture: a Developmental Approach to Open-Ended Learning in Robotics.
  • Frédéric Alexandre, Peter Ford Dominey, Philippe Gaussier, Benoît Girard, Mehdi Khamassi, Nicolas Rougier (2020). When Artificial Intelligence and Computational Neuroscience meet. A guided tour of artificial intelligence research, Interfaces and applications of artificial intelligence Vol 3
  • Mehdi Khamassi, Benoît Girard (2020). Modeling awake hippocampal reactivations with model-based bidirectional search. Biological Cybernetics (Modeling)
  • James Gillespie, Iñaki Rañó, Nazmul Siddique, Jose Santos, Mehdi Khamassi (2019). Using Reinforcement Learning to Attenuate for Stochasticity in Robot Navigation Controllers. 2019 IEEE Symposium Series on Computational Intelligence (SSCI 2019)
  • François Cinotti, Virginie Fresno, Nassim Aklil, Etienne Coutureau, Benoît Girard, Alain Marchand, Mehdi Khamassi (2019). Dopamine blockade impairs the exploration-exploitation trade-off in rats. Scientific Reports Vol 9
  • Jack Hadfield, Georgia Chalvatzaki, Petros Koutras, Mehdi Khamassi, Costas Tzafestas, Petros Maragos (2019). A Deep Learning Approach for Multi-View Engagement Estimation of Children in a Child-Robot Joint Attention Task. 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2019)
  • Mehdi Khamassi, Frédéric Decremps (2019). Apprentissage de la démarche scientifique et de l'esprit critique : un enseignement de Sorbonne Université pour les étudiants d'aujourd'hui, citoyens de demain. Bertezene, S. and Vallat, D. (Eds.) Guider la raison qui nous guide : Agir et penser en complexité
  • Mehdi Khamassi, Raja Chatila, Alain Mille (2019). Éthique et sciences cognitives. Intellectica - La revue de l’Association pour la Recherche sur les sciences de la Cognition (ARCo) Vol 2019/1 Pages 7-39.
  • François Cinotti, Alain Marchand, Matthew Roesch, Benoît Girard, Mehdi Khamassi (2019). Impacts of inter-trial interval duration on a computational model of sign-tracking vs. goal-tracking behaviour. Psychopharmacology
  • Lisa Genzel, Evelien Schut, Tim Schröder, Ronny Eichler, Mehdi Khamassi, Angela Gomez, Irene Navarro Lobato, Francesco Battaglia (2019). The object space task shows cumulative memory expression in both mice and rats. PLoS Biology Vol 17 Pages e3000322.
  • Guillaume Viejo, Benoît Girard, Emmanuel Procyk, Mehdi Khamassi (2018). Adaptive coordination of working-memory and reinforcement learning in non-human primates performing a trial-and-error problem solving task. Behavioural Brain Research Vol 355 Pages 76-89.
  • Mehdi Khamassi, George Velentzas, Theodore Tsitsimis, Costas Tzafestas (2018). Robot Fast Adaptation to Changes in Human Engagement During Simulated Dynamic Social Interaction With Active Exploration in Parameterized Reinforcement Learning. IEEE Transactions on Cognitive and Developmental Systems Vol 10 Pages 881-893.
  • Romain Cazé, Mehdi Khamassi, Lise Aubin, Benoît Girard (2018). Hippocampal replays under the scrutiny of reinforcement learning models. Journal of Neurophysiology
  • Sophie Bavard, Maël Lebreton, Mehdi Khamassi, Giorgio Coricelli, Stefano Palminteri (2018). Reference-point centering and range-adaptation enhance human reinforcement learning at the cost of irrational preferences. Nature Communications Vol 9 Pages 4503.
  • Brian Lee, Ronny Gentry, Gregory Bissonette, Rae Herman, John Mallon, Daniel Bryden, Donna Calu, Geoffrey Schoenbaum, Etienne Coutureau, Alain Marchand, Mehdi Khamassi, Matthew Roesch (2018). Manipulating the revision of reward value during the intertrial interval increases sign tracking and dopamine release. PLoS Biology Vol 16 Pages e2004015.
  • Mehdi Khamassi, G Chalvatzaki, T Tsitsimis, G Velentzas, C Tzafestas (2018). A framework for robot learning during child-robot interaction with human engagement as reward signal. 27th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN 2018)
  • George Velentzas, Theodore Tsitsimis, Iñaki Rañó, Costas Tzafestas, Mehdi Khamassi (2018). Adaptive reinforcement learning with active state-specific exploration for engagement maximization during simulated child-robot interaction. Paladyn: Journal of Behavioral Robotics Vol 9 Pages 235-253.
  • Raja Chatila, Erwan Renaudo, Mihai Andries, Omar Chavez-Garcia, Pierre Luce-Vayrac, Raphaël Gottstein, Rachid Alami, Aurélie Clodic, Sandra Devin, Benoît Girard, Mehdi Khamassi (2018). Toward Self-Aware Robots. Frontiers in Robotics and AI Vol 5 Pages 88.
  • Lise Aubin, Mehdi Khamassi, Benoît Girard (2018). Prioritized Sweeping Neural DynaQ with Multiple Predecessors, and Hippocampal Replays. Biomimetic and Biohybrid Systems. Living Machines 2018. Vol 10928 Pages 16-27.
  • Laurent Dollé, Ricardo Chavarriaga, Agnès Guillot, Mehdi Khamassi (2018). Interactions of spatial strategies producing generalization gradient and blocking: A computational approach. PLoS Computational Biology Vol 14 Pages e1006092.
  • Nassim Aklil, Benoît Girard, Ludovic Denoyer, Mehdi Khamassi (2018). Sequential Action Selection and Active Sensing for Budgeted Localization in Robot Navigation. International Journal of Semantic Computing Vol 12 Pages 109-127.
  • Mehdi Khamassi, Elisabeth Pacherie (2018). L'ACTION. La cognition : du neurone à la société
  • Nicolas Rougier, Konrad Hinsen, Frédéric Alexandre, Thomas Arildsen, Lorena Barba, Fabien C. Y. Benureau, C. Titus Brown, Pierre de Buyl, Ozan Caglayan, Andrew P. Davison, Marc André Delsuc, Georgios Detorakis, Alexandra K. Diem, Damien Drix, Pierre Enel, Benoît Girard, Olivia Guest, Matt G. Hall, Rafael Neto Henriques, Xavier Hinaut, Kamil S Jaron, Mehdi Khamassi, Almar Klein, Tiina Manninen, Pietro Marchesi, Dan Mcglinn, Christoph Metzner, Owen L. Petchey, Hans Ekkehard Plesser, Timothée Poisot, Karthik Ram, Yoav Ram, Etienne Roesch, Cyrille Rossant, Vahid Rostami, Aaron Shifman, Joseph Stachelek, Marcel Stimberg, Frank Stollmeier, Federico Vaggi, Guillaume Viejo, Julien Vitay, Anya Vostinar, Roman Yurchak, Tiziano Zito (2017). Sustainable computational science: the ReScience initiative. PeerJ Computer Science Vol 3 Pages e142.
  • James Gillespie, Iñaki Rañó, Nazmul Siddique, Jose Santos, Mehdi Khamassi (2017). Reinforcement Learning for Bio-Inspired Target Seeking. Annual Conference Towards Autonomous Robotic Systems Pages 637-650.
  • Nassim Aklil, Benoît Girard, Mehdi Khamassi, Ludovic Denoyer (2017). Sequential Action Selection for Budgeted Localization in Robots. IEEE Robotic Computing 2017 Pages 97 - 100.
  • Benoît Girard, Mehdi Khamassi (2016). Coopération de systèmes d’apprentissage par renforcement multiples.. Techniques de l'Ingenieur Pages S7793.
  • Mehdi Khamassi, Benoît Girard, Aurélie Clodic, Sandra Devin, Erwan Renaudo, Elisabeth Pacherie, Rachid Alami, Raja Chatila (2016). Integration of Action, Joint Action and Learning in Robot Cognitive Architectures. Intellectica - La revue de l’Association pour la Recherche sur les sciences de la Cognition (ARCo) Vol 2016/1 Pages 169-203.
  • Mehdi Khamassi, Stéphane Doncieux (2016). Nouvelles approches en Robotique Cognitive. Intellectica - La revue de l’Association pour la Recherche sur les sciences de la Cognition (ARCo) Vol 2016/1 Pages 7-25.
  • Raja Chatila, Mehdi Khamassi (2016). La conscience d'une machine. Interstices
  • Guillaume Viejo, Benoît Girard, Mehdi Khamassi (2016). [Re] Speed/accuracy trade-off between the habitual and the goal-directed processes. The ReScience journal Vol 2
  • Pierre de Loor, Alain Mille, Mehdi Khamassi (2015). Intelligence artificielle: l'apport des paradigmes incarnés. Intellectica - La revue de l’Association pour la Recherche sur les sciences de la Cognition (ARCo) Vol 2 Pages 27-52.
  • Mehdi Khamassi, René Quilodran, Pierre Enel, Peter Dominey, Emmanuel Procyk (2015). Behavioral Regulation and the Modulation of Information Coding in the Lateral Prefrontal and Cingulate Cortex. Cerebral Cortex Vol 25 Pages 3197-3218.
  • Erwan Renaudo, Sandra Devin, Benoît Girard, Raja Chatila, Rachid Alami, Mehdi Khamassi, Aurélie Clodic (2015). Learning to interact with humans using goal-directed and habitual behaviors. Ro-Man 2015, Workshop on Learning for Human-Robot Collaboration
  • Erwan Renaudo, Benoît Girard, Raja Chatila, Mehdi Khamassi (2015). 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)
  • Guillaume Viejo, Mehdi Khamassi, Andrea Brovelli, Benoît Girard (2015). Modeling choice and reaction time during arbitrary visuomotor learning through the coordination of adaptive working memory and reinforcement learning. Frontiers in Behavioral Neuroscience Vol 9 Pages 225.
  • Florian Lesaint, Olivier Sigaud, Jeremy Clark, Shelly Flagel, Mehdi Khamassi (2015). Experimental predictions drawn from a computational model of sign-trackers and goal-trackers. Journal of Physiology - Paris Vol 109 Pages 78–86.
  • Stefano Palminteri, Mehdi Khamassi, Mateus Joffily, Giorgio Coricelli (2015). Contextual modulation of value signals in reward and punishment learning. Nature Communications Pages article 8096.
  • Erwan Renaudo, Benoît Girard, Raja Chatila, Mehdi Khamassi (2015). Respective Advantages and Disadvantages of Model-based and Model-free Reinforcement Learning in a Robotics Neuro-inspired Cognitive Architecture. Procedia Computer Science Vol 71 Pages 178–184.
  • Florian Lesaint, Olivier Sigaud, Mehdi Khamassi (2014). Accounting for Negative Automaintenance in Pigeons: A Dual Learning Systems Approach and Factored Representations. PLoS ONE
  • Mehdi Khamassi (2014). Coordination of parallel learning processes in animals and robots.