Mehdi Khamassi

61 papers A* 3A 2B 3Journal 33Unranked 18

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Morality is Contextual: Learning Interpretable Moral Contexts from Human Data with Probabilistic Clustering and Large Language Models. CoRR Geoffroy Morlat, Marceau Nahon, Augustin Chartouny, Raja Chatila, Ismael T. Freire, Mehdi Khamassi
2025	—	`conf`	Push, See, Predict: Emergent Perception Through Intrinsically Motivated Play. ICDL Orestis Konstantaropoulos, Mehdi Khamassi, Petros Maragos, George Retsinas
2025	J	`jnl`	Semantic Deception: When Reasoning Models Can't Compute an Addition. CoRR Nathaniël de Leeuw, Marceau Nahon, Mathis Reymond, Raja Chatila, Mehdi Khamassi
2024	J	`jnl`	Artificial consciousness. Some logical and conceptual preliminaries. CoRR Kathinka Evers, Michele Farisco, Raja Chatila, B. D. Earp, Ismael T. Freire, F. Hamker, E. Nemeth, Paul F. M. J. Verschure, Mehdi Khamassi
2024	—	`conf`	Online Prediction of Novel Trajectories Using a Library of Movement Primitives. ICDL Paris Oikonomou, Athanasios Dometios, Mehdi Khamassi, Costas S. Tzafestas
2024	J	`jnl`	Purpose for Open-Ended Learning Robots: A Computational Taxonomy, Definition, and Operationalisation. CoRR Gianluca Baldassarre, Richard J. Duro, Emilio Cartoni, Mehdi Khamassi, Alejandro Romero, Vieri Giuliano Santucci
2024	J	`jnl`	Strong and weak alignment of large language models with human values. CoRR Mehdi Khamassi, Marceau Nahon, Raja Chatila
2023	J	`jnl`	Computational Model of the Transition from Novice to Expert Interaction Techniques. ACM Trans. Comput. Hum. Interact. Gilles Bailly, Mehdi Khamassi, Benoît Girard
2023	J	`jnl`	Editorial: Neurorobotics explores the human senses. Frontiers Neurorobotics Mehdi Khamassi, Marco Mirolli, Christian Wallraven
2023	J	`jnl`	Reducing Computational Cost During Robot Navigation and Human-Robot Interaction with a Human-Inspired Reinforcement Learning Architecture. Int. J. Soc. Robotics Rémi Dromnelle, Erwan Renaudo, Mohamed Chetouani, Petros Maragos, Raja Chatila, Benoît Girard, Mehdi Khamassi
2023	J	`jnl`	Zero-shot model-free learning of periodic movements for a bio-inspired soft-robotic arm. Frontiers Robotics AI Paris Oikonomou, Athanasios Dometios, Mehdi Khamassi, Costas S. Tzafestas
2022	J	`jnl`	Editorial: Computational models of affordance for robotics. Frontiers Neurorobotics Erwan Renaudo, Philipp Zech, Raja Chatila, Mehdi Khamassi
2022	J	`jnl`	Model-Based and Model-Free Replay Mechanisms for Reinforcement Learning in Neurorobotics. Frontiers Neurorobotics Elisa Massi, Jeanne Barthélemy, Juliane Mailly, Rémi Dromnelle, Julien Canitrot, Esther Poniatowski, Benoît Girard, Mehdi Khamassi
2022	A*	`conf`	Reproduction of Human Demonstrations with a Soft-Robotic Arm based on a Library of Learned Probabilistic Movement Primitives. ICRA Paris Oikonomou, Athanasios Dometios, Mehdi Khamassi, Costas S. Tzafestas
2021	—	`conf`	Stability Analysis of Bio-inspired Source Seeking with Noisy Sensors. ECC Iñaki Rañó, Mehdi Khamassi, KongFatt Wong-Lin
2021	A	`conf`	Task Driven Skill Learning in a Soft-Robotic Arm. IROS Paris Oikonomou, Athanasios Dometios, Mehdi Khamassi, Costas S. Tzafestas
2020	J	`jnl`	A Novel Reinforcement-Based Paradigm for Children to Teach the Humanoid Kaspar Robot. Int. J. Soc. Robotics Abolfazl Zaraki, Mehdi Khamassi, Luke Jai Wood, Gabriella Lakatos, Costas S. Tzafestas, Farshid Amirabdollahian, Ben Robins, Kerstin Dautenhahn
2020	—	`conf`	Adaptive Coordination of Multiple Learning Strategies in Brains and Robots. TPNC Mehdi Khamassi
2020	B	`conf`	Coping with the variability in humans reward during simulated human-robot interactions through the coordination of multiple learning strategies. RO-MAN Rémi Dromnelle, Benoît Girard, Erwan Renaudo, Raja Chatila, Mehdi Khamassi
2020	J	`jnl`	Coping with the variability in humans reward during simulated human-robot interactions through the coordination of multiple learning strategies. CoRR Rémi Dromnelle, Benoît Girard, Erwan Renaudo, Raja Chatila, Mehdi Khamassi
2020	J	`jnl`	DREAM Architecture: a Developmental Approach to Open-Ended Learning in Robotics. CoRR 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
2020	—	`conf`	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 Rémi Dromnelle, Erwan Renaudo, Guillaume Pourcel, Raja Chatila, Benoît Girard, Mehdi Khamassi
2020	J	`jnl`	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 Rémi Dromnelle, Erwan Renaudo, Guillaume Pourcel, Raja Chatila, Benoît Girard, Mehdi Khamassi
2020	J	`jnl`	Modeling awake hippocampal reactivations with model-based bidirectional search. Biol. Cybern. Mehdi Khamassi, Benoît Girard
2020	A*	`conf`	Periodic movement learning in a soft-robotic arm ICRA Paris Oikonomou, Mehdi Khamassi, Costas S. Tzafestas
2020	J	`jnl`	Special Issue on Behavior Adaptation, Interaction, and Artificial Perception for Assistive Robotics. Int. J. Soc. Robotics Mariacarla Staffa, Silvia Rossi, Adriana Tapus, Mehdi Khamassi
2020	—	`ch.`	When Artificial Intelligence and Computational Neuroscience Meet. A Guided Tour of Artificial Intelligence Research (3) (III) Frédéric Alexandre, Peter F. Dominey, Philippe Gaussier, Benoît Girard, Mehdi Khamassi, Nicolas P. Rougier
2019	A	`conf`	A Deep Learning Approach for Multi-View Engagement Estimation of Children in a Child-Robot Joint Attention Task. IROS Jack Hadfield, Georgia Chalvatzaki, Petros Koutras, Mehdi Khamassi, Costas S. Tzafestas, Petros Maragos
2019	—	`conf`	Using Reinforcement Learning to Attenuate for Stochasticity in Robot Navigation Controllers. SSCI James Gillespie, Iñaki Rañó, Nazmul H. Siddique, José Santos, Mehdi Khamassi
2018	J	`jnl`	A Deep Learning Approach for Multi-View Engagement Estimation of Children in a Child-Robot Joint Attention task. CoRR Jack Hadfield, Georgia Chalvatzaki, Petros Koutras, Mehdi Khamassi, Costas S. Tzafestas, Petros Maragos
2018	B	`conf`	A Framework for Robot Learning During Child-Robot Interaction with Human Engagement as Reward Signal. RO-MAN Mehdi Khamassi, Georgia Chalvatzaki, Theodore Tsitsimis, George Velentzas, Costas S. Tzafestas
2018	J	`jnl`	Adaptive reinforcement learning with active state-specific exploration for engagement maximization during simulated child-robot interaction. Paladyn J. Behav. Robotics George Velentzas, Theodore Tsitsimis, Iñaki Rañó, Costas S. Tzafestas, Mehdi Khamassi
2018	B	`conf`	Computational Model of the User's Learning Process When Cued by a Social Versus Non-Social Agent. HAI Ouriel Grynszpan, Esther Mouquet, Matthew F. S. Rushworth, Jérôme Sallet, Mehdi Khamassi
2018	J	`jnl`	Interactions of spatial strategies producing generalization gradient and blocking: A computational approach. PLoS Comput. Biol. Laurent Dollé, Ricardo Chavarriaga, Agnès Guillot, Mehdi Khamassi
2018	—	`conf`	Prioritized Sweeping Neural DynaQ with Multiple Predecessors, and Hippocampal Replays. Living Machines Lise Aubin, Mehdi Khamassi, Benoît Girard
2018	J	`jnl`	Prioritized Sweeping Neural DynaQ with Multiple Predecessors, and Hippocampal Replays. CoRR Lise Aubin, Mehdi Khamassi, Benoît Girard
2018	J	`jnl`	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. Mehdi Khamassi, George Velentzas, Theodore Tsitsimis, Costas S. Tzafestas
2018	J	`jnl`	Sequential Action Selection and Active Sensing for Budgeted Localization in Robot Navigation. Int. J. Semantic Comput. Nassim Aklil, Benoît Girard, Ludovic Denoyer, Mehdi Khamassi
2018	J	`jnl`	Toward Self-Aware Robots. Frontiers Robotics AI 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
2017	A*	`conf`	A drift diffusion model of biological source seeking for mobile robots. ICRA Iñaki Rañó, Mehdi Khamassi, KongFatt Wong-Lin
2017	—	`conf`	Active Exploration and Parameterized Reinforcement Learning Applied to a Simulated Human-Robot Interaction Task. IRC Mehdi Khamassi, George Velentzas, Theodore Tsitsimis, Costas S. Tzafestas
2017	J	`jnl`	Adaptive coordination of working-memory and reinforcement learning in non-human primates performing a trial-and-error problem solving task. CoRR Guillaume Viejo, Benoît Girard, Emmanuel Procyk, Mehdi Khamassi
2017	—	`conf`	Reinforcement Learning for Bio-Inspired Target Seeking. TAROS James Gillespie, Iñaki Rañó, Nazmul H. Siddique, José Santos, Mehdi Khamassi
2017	—	`conf`	Sequential Action Selection for Budgeted Localization in Robots. IRC Nassim Aklil, Benoît Girard, Mehdi Khamassi, Ludovic Denoyer
2017	J	`jnl`	Sustainable computational science: the ReScience initiative. CoRR 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, Jemma Stachelek, Marcel Stimberg, Frank Stollmeier, Federico Vaggi, Guillaume Viejo, Julien Vitay, Anya E. Vostinar, Roman Yurchak, Tiziano Zito
2017	J	`jnl`	Sustainable computational science: the ReScience initiative. PeerJ Comput. Sci. 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, Jemma Stachelek, Marcel Stimberg, Frank Stollmeier, Federico Vaggi, Guillaume Viejo, Julien Vitay, Anya E. Vostinar, Roman Yurchak, Tiziano Zito
2016	J	`jnl`	Active exploration in parameterized reinforcement learning. CoRR Mehdi Khamassi, Costas S. Tzafestas
2015	—	`conf`	Respective Advantages and Disadvantages of Model-based and Model-free Reinforcement Learning in a Robotics Neuro-inspired Cognitive Architecture. BICA Erwan Renaudo, Benoît Girard, Raja Chatila, Mehdi Khamassi
2015	—	`conf`	Which criteria for autonomously shifting between goal-directed and habitual behaviors in robots? ICDL-EPIROB Erwan Renaudo, Benoît Girard, Raja Chatila, Mehdi Khamassi
2014	—	`conf`	Design of a Control Architecture for Habit Learning in Robots. Living Machines Erwan Renaudo, Benoît Girard, Raja Chatila, Mehdi Khamassi
2014	J	`jnl`	Modelling Individual Differences in the Form of Pavlovian Conditioned Approach Responses: A Dual Learning Systems Approach with Factored Representations. PLoS Comput. Biol. Florian Lesaint, Olivier Sigaud, Shelly B. Flagel, Terry E. Robinson, Mehdi Khamassi
2012	—	`conf`	Neuro-inspired Navigation Strategies Shifting for Robots: Integration of a Multiple Landmark Taxon Strategy. Living Machines Ken Caluwaerts, Antoine Favre-Félix, Mariacarla Staffa, Steve N'Guyen, Christophe Grand, Benoît Girard, Mehdi Khamassi
2012	—	`conf`	Which Temporal Difference Learning Algorithm Best Reproduces Dopamine Activity in a Multi-choice Task? SAB Jean Bellot, Olivier Sigaud, Mehdi Khamassi
2011	J	`jnl`	Robot Cognitive Control with a Neurophysiologically Inspired Reinforcement Learning Model. Frontiers Neurorobotics Mehdi Khamassi, Stéphane Lallée, Pierre Enel, Emmanuel Procyk, Peter F. Dominey
2010	—	`conf`	A Computational Model of Integration between Reinforcement Learning and Task Monitoring in the Prefrontal Cortex. SAB Mehdi Khamassi, René Quilodrán, Pierre Enel, Emmanuel Procyk, Peter F. Dominey
2010	J	`jnl`	Principal component analysis of ensemble recordings reveals cell assemblies at high temporal resolution. J. Comput. Neurosci. Adrien Peyrache, Karim Benchenane, Mehdi Khamassi, Sidney I. Wiener, Francesco P. Battaglia
2008	—	`conf`	Analyzing Interactions between Navigation Strategies Using a Computational Model of Action Selection. Spatial Cognition Laurent Dollé, Mehdi Khamassi, Benoît Girard, Agnès Guillot, Ricardo Chavarriaga
2007	—	`—`	Complementary roles of the rat prefrontal cortex and striatum in reward-based learning and shifting navigation strategies. (Rôles complémentaires du cortex préfrontal et du striatum dans l'apprentissage et le changement de stratégies de navigation basées sur la récompense chez le rat). Mehdi Khamassi
2006	—	`conf`	Combining Self-organizing Maps with Mixtures of Experts: Application to an Actor-Critic Model of Reinforcement Learning in the Basal Ganglia. SAB Mehdi Khamassi, Louis-Emmanuel Martinet, Agnès Guillot
2005	J	`jnl`	Actor-Critic Models of Reinforcement Learning in the Basal Ganglia: From Natural to Artificial Rats. Adapt. Behav. Mehdi Khamassi, Loïc Lachèze, Benoît Girard, Alain Berthoz, Agnès Guillot
2005	J	`jnl`	The Psikharpax project: towards building an artificial rat. Robotics Auton. Syst. Jean-Arcady Meyer, Agnès Guillot, Benoît Girard, Mehdi Khamassi, Patrick Pirim, Alain Berthoz