Mehdi Khamassi

ORCID

Publication Activity (10 Years)

Years Active: 2005-2023
Publications (10 Years): 41

Top Venues

CoRR

Living Machines

ICRA

Frontiers Neurorobotics

Pierre and Marie Curie University, Paris, France (PHD)

Education History

Pierre and Marie Curie University, Paris, France

PHD

Publications

Rémi Dromnelle, Erwan Renaudo, Mohamed Chetouani, Petros Maragos, Raja Chatila, Benoît Girard, Mehdi Khamassi
Reducing Computational Cost During Robot Navigation and Human-Robot Interaction with a Human-Inspired Reinforcement Learning Architecture. Int. J. Soc. Robotics 15 (8) (2023)
Gilles Bailly, Mehdi Khamassi, Benoît Girard
Computational Model of the Transition from Novice to Expert Interaction Techniques. ACM Trans. Comput. Hum. Interact. 30 (5) (2023)
Paris Oikonomou, Athanasios Dometios, Mehdi Khamassi, Costas S. Tzafestas
Zero-shot model-free learning of periodic movements for a bio-inspired soft-robotic arm. Frontiers Robotics AI 10 (2023)
Mehdi Khamassi, Marco Mirolli, Christian Wallraven
Editorial: Neurorobotics explores the human senses. Frontiers Neurorobotics 17 (2023)
Elisa Massi, Jeanne Barthélemy, Juliane Mailly, Rémi Dromnelle, Julien Canitrot, Esther Poniatowski, Benoît Girard, Mehdi Khamassi
Model-Based and Model-Free Replay Mechanisms for Reinforcement Learning in Neurorobotics. Frontiers Neurorobotics 16 (2022)
Paris Oikonomou, Athanasios Dometios, Mehdi Khamassi, Costas S. Tzafestas
Reproduction of Human Demonstrations with a Soft-Robotic Arm based on a Library of Learned Probabilistic Movement Primitives. ICRA (2022)
Erwan Renaudo, Philipp Zech, Raja Chatila, Mehdi Khamassi
Editorial: Computational models of affordance for robotics. Frontiers Neurorobotics 16 (2022)
Iñaki Rañó, Mehdi Khamassi, KongFatt Wong-Lin
Stability Analysis of Bio-inspired Source Seeking with Noisy Sensors. ECC (2021)
Paris Oikonomou, Athanasios Dometios, Mehdi Khamassi, Costas S. Tzafestas
Task Driven Skill Learning in a Soft-Robotic Arm. IROS (2021)
Mehdi Khamassi, Benoît Girard
Modeling awake hippocampal reactivations with model-based bidirectional search. Biol. Cybern. 114 (2) (2020)
Abolfazl Zaraki, Mehdi Khamassi, Luke Jai Wood, Gabriella Lakatos, Costas S. Tzafestas, Farshid Amirabdollahian, Ben Robins, Kerstin Dautenhahn
A Novel Reinforcement-Based Paradigm for Children to Teach the Humanoid Kaspar Robot. Int. J. Soc. Robotics 12 (3) (2020)
Rémi Dromnelle, Erwan Renaudo, Guillaume Pourcel, Raja Chatila, Benoît Girard, Mehdi Khamassi
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. CoRR (2020)
Mehdi Khamassi
Adaptive Coordination of Multiple Learning Strategies in Brains and Robots. TPNC (2020)
Paris Oikonomou, Mehdi Khamassi, Costas S. Tzafestas
. ICRA (2020)
Rémi Dromnelle, Benoît Girard, Erwan Renaudo, Raja Chatila, Mehdi Khamassi
Coping with the variability in humans reward during simulated human-robot interactions through the coordination of multiple learning strategies. RO-MAN (2020)
Mariacarla Staffa, Silvia Rossi, Adriana Tapus, Mehdi Khamassi
Special Issue on Behavior Adaptation, Interaction, and Artificial Perception for Assistive Robotics. Int. J. Soc. Robotics 12 (3) (2020)
Stéphane Doncieux, Nicolas Bredèche, Leni K. Le Goff, Benoît Girard, Alexandre Coninx, Olivier Sigaud, Mehdi Khamassi, Natalia Díaz Rodríguez, David Filliat, Timothy M. Hospedales, A. E. Eiben, Richard J. Duro
DREAM Architecture: a Developmental Approach to Open-Ended Learning in Robotics. CoRR (2020)
Rémi Dromnelle, Erwan Renaudo, Guillaume Pourcel, Raja Chatila, Benoît Girard, Mehdi Khamassi
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 (2020)
Rémi Dromnelle, Benoît Girard, Erwan Renaudo, Raja Chatila, Mehdi Khamassi
Coping with the variability in humans reward during simulated human-robot interactions through the coordination of multiple learning strategies. CoRR (2020)
James Gillespie, Iñaki Rañó, Nazmul H. Siddique, José Santos, Mehdi Khamassi
Using Reinforcement Learning to Attenuate for Stochasticity in Robot Navigation Controllers. SSCI (2019)
Jack Hadfield, Georgia Chalvatzaki, Petros Koutras, Mehdi Khamassi, Costas S. Tzafestas, Petros Maragos
A Deep Learning Approach for Multi-View Engagement Estimation of Children in a Child-Robot Joint Attention Task. IROS (2019)
Raja Chatila, Erwan Renaudo, Mihai Andries, Ricardo Omar Chávez García, Pierre Luce-Vayrac, Raphaël Gottstein, Rachid Alami, Aurélie Clodic, Sandra Devin, Benoît Girard, Mehdi Khamassi
Toward Self-Aware Robots. Frontiers Robotics AI 5 (2018)
Lise Aubin, Mehdi Khamassi, Benoît Girard
Prioritized Sweeping Neural DynaQ with Multiple Predecessors, and Hippocampal Replays. Living Machines (2018)
Mehdi Khamassi, Georgia Chalvatzaki, Theodore Tsitsimis, George Velentzas, Costas S. Tzafestas
A Framework for Robot Learning During Child-Robot Interaction with Human Engagement as Reward Signal. RO-MAN (2018)
Nassim Aklil, Benoît Girard, Ludovic Denoyer, Mehdi Khamassi
Sequential Action Selection and Active Sensing for Budgeted Localization in Robot Navigation. Int. J. Semantic Comput. 12 (1) (2018)
Laurent Dollé, Ricardo Chavarriaga, Agnès Guillot, Mehdi Khamassi
Interactions of spatial strategies producing generalization gradient and blocking: A computational approach. PLoS Comput. Biol. 14 (4) (2018)
Lise Aubin, Mehdi Khamassi, Benoît Girard
Prioritized Sweeping Neural DynaQ with Multiple Predecessors, and Hippocampal Replays. CoRR (2018)
Mehdi Khamassi, George Velentzas, Theodore Tsitsimis, Costas S. Tzafestas
Robot Fast Adaptation to Changes in Human Engagement During Simulated Dynamic Social Interaction With Active Exploration in Parameterized Reinforcement Learning. IEEE Trans. Cogn. Dev. Syst. 10 (4) (2018)
George Velentzas, Theodore Tsitsimis, Iñaki Rañó, Costas S. Tzafestas, Mehdi Khamassi
Adaptive reinforcement learning with active state-specific exploration for engagement maximization during simulated child-robot interaction. Paladyn J. Behav. Robotics 9 (1) (2018)
Ouriel Grynszpan, Esther Mouquet, Matthew F. S. Rushworth, Jérôme Sallet, Mehdi Khamassi
Computational Model of the User's Learning Process When Cued by a Social Versus Non-Social Agent. HAI (2018)
Jack Hadfield, Georgia Chalvatzaki, Petros Koutras, Mehdi Khamassi, Costas S. Tzafestas, Petros Maragos
A Deep Learning Approach for Multi-View Engagement Estimation of Children in a Child-Robot Joint Attention task. CoRR (2018)
James Gillespie, Iñaki Rañó, Nazmul H. Siddique, José Santos, Mehdi Khamassi
Reinforcement Learning for Bio-Inspired Target Seeking. TAROS (2017)
Nassim Aklil, Benoît Girard, Mehdi Khamassi, Ludovic Denoyer
Sequential Action Selection for Budgeted Localization in Robots. IRC (2017)
Iñaki Rañó, Mehdi Khamassi, KongFatt Wong-Lin
A drift diffusion model of biological source seeking for mobile robots. ICRA (2017)
Nicolas P. Rougier, Konrad Hinsen, Frédéric Alexandre, Thomas Arildsen, Lorena A. 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 B. Roesch, Cyrille Rossant, Vahid Rostami, Aaron Shifman, Joseph Stachelek, Marcel Stimberg, Frank Stollmeier, Federico Vaggi, Guillaume Viejo, Julien Vitay, Anya E. Vostinar, Roman Yurchak, Tiziano Zito
Sustainable computational science: the ReScience initiative. PeerJ Comput. Sci. 3 (2017)
Nicolas P. Rougier, Konrad Hinsen, Frédéric Alexandre, Thomas Arildsen, Lorena A. 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 B. Roesch, Cyrille Rossant, Vahid Rostami, Aaron Shifman, Joseph Stachelek, Marcel Stimberg, Frank Stollmeier, Federico Vaggi, Guillaume Viejo, Julien Vitay, Anya E. Vostinar, Roman Yurchak, Tiziano Zito
Sustainable computational science: the ReScience initiative. CoRR (2017)
Mehdi Khamassi, George Velentzas, Theodore Tsitsimis, Costas S. Tzafestas
Active Exploration and Parameterized Reinforcement Learning Applied to a Simulated Human-Robot Interaction Task. IRC (2017)
Guillaume Viejo, Benoît Girard, Emmanuel Procyk, Mehdi Khamassi
Adaptive coordination of working-memory and reinforcement learning in non-human primates performing a trial-and-error problem solving task. CoRR (2017)
Mehdi Khamassi, Costas S. Tzafestas
Active exploration in parameterized reinforcement learning. CoRR (2016)
Erwan Renaudo, Benoît Girard, Raja Chatila, Mehdi Khamassi
Which criteria for autonomously shifting between goal-directed and habitual behaviors in robots? ICDL-EPIROB (2015)
Erwan Renaudo, Benoît Girard, Raja Chatila, Mehdi Khamassi
Respective Advantages and Disadvantages of Model-based and Model-free Reinforcement Learning in a Robotics Neuro-inspired Cognitive Architecture. BICA (2015)
Erwan Renaudo, Benoît Girard, Raja Chatila, Mehdi Khamassi
Design of a Control Architecture for Habit Learning in Robots. Living Machines (2014)
Florian Lesaint, Olivier Sigaud, Shelly B. Flagel, Terry E. Robinson, Mehdi Khamassi
Modelling Individual Differences in the Form of Pavlovian Conditioned Approach Responses: A Dual Learning Systems Approach with Factored Representations. PLoS Comput. Biol. 10 (2) (2014)
Jean Bellot, Olivier Sigaud, Mehdi Khamassi
Which Temporal Difference Learning Algorithm Best Reproduces Dopamine Activity in a Multi-choice Task? SAB (2012)
Ken Caluwaerts, Antoine Favre-Félix, Mariacarla Staffa, Steve N'Guyen, Christophe Grand, Benoît Girard, Mehdi Khamassi
Neuro-inspired Navigation Strategies Shifting for Robots: Integration of a Multiple Landmark Taxon Strategy. Living Machines (2012)
Mehdi Khamassi, Stéphane Lallée, Pierre Enel, Emmanuel Procyk, Peter F. Dominey
Robot Cognitive Control with a Neurophysiologically Inspired Reinforcement Learning Model. Frontiers Neurorobotics 5 (2011)
Mehdi Khamassi, René Quilodran, Pierre Enel, Emmanuel Procyk, Peter F. Dominey
A Computational Model of Integration between Reinforcement Learning and Task Monitoring in the Prefrontal Cortex. SAB (2010)
Adrien Peyrache, Karim Benchenane, Mehdi Khamassi, Sidney I. Wiener, Francesco P. Battaglia
Principal component analysis of ensemble recordings reveals cell assemblies at high temporal resolution. J. Comput. Neurosci. 29 (1-2) (2010)
Laurent Dollé, Mehdi Khamassi, Benoît Girard, Agnès Guillot, Ricardo Chavarriaga
Analyzing Interactions between Navigation Strategies Using a Computational Model of Action Selection. Spatial Cognition (2008)
Mehdi Khamassi, Louis-Emmanuel Martinet, Agnès Guillot
Combining Self-organizing Maps with Mixtures of Experts: Application to an Actor-Critic Model of Reinforcement Learning in the Basal Ganglia. SAB (2006)
Jean-Arcady Meyer, Agnès Guillot, Benoît Girard, Mehdi Khamassi, Patrick Pirim, Alain Berthoz
The Psikharpax project: towards building an artificial rat. Robotics Auton. Syst. 50 (4) (2005)
Mehdi Khamassi, Loïc Lachèze, Benoît Girard, Alain Berthoz, Agnès Guillot
Actor-Critic Models of Reinforcement Learning in the Basal Ganglia: From Natural to Artificial Rats. Adapt. Behav. 13 (2) (2005)

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Publication Activity (10 Years)

Top Topics

Top Venues

Mehdi Khamassi