Actor-Critic Models of Reinforcement Learning in the Basal Ganglia: From Natural to Artificial Rats. - Mehdi Khamassi; Loïc Lachèze; Benoît Girard 001; Alain Berthoz; Agnès Guillot (Adapt. Behav., 2005)

The Psikharpax project: towards building an artificial rat. - Jean-Arcady Meyer; Agnès Guillot; Benoît Girard 001; Mehdi Khamassi; Patrick Pirim; Alain Berthoz (Robotics Auton. Syst., 2005)

Combining Self-organizing Maps with Mixtures of Experts: Application to an Actor-Critic Model of Reinforcement Learning in the Basal Ganglia. - Mehdi Khamassi; Louis-Emmanuel Martinet; Agnès Guillot (SAB, 2006)

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 (2007)

Analyzing Interactions between Navigation Strategies Using a Computational Model of Action Selection. - Laurent Dollé; Mehdi Khamassi; Benoît Girard 001; Agnès Guillot; Ricardo Chavarriaga (Spatial Cognition, 2008)

A Computational Model of Integration between Reinforcement Learning and Task Monitoring in the Prefrontal Cortex. - Mehdi Khamassi; René Quilodrán; Pierre Enel; Emmanuel Procyk; Peter F. Dominey (SAB, 2010)

Principal component analysis of ensemble recordings reveals cell assemblies at high temporal resolution. - Adrien Peyrache; Karim Benchenane; Mehdi Khamassi; Sidney I. Wiener; Francesco P. Battaglia (J. Comput. Neurosci., 2010)

Robot Cognitive Control with a Neurophysiologically Inspired Reinforcement Learning Model. - Mehdi Khamassi; Stéphane Lallée; Pierre Enel; Emmanuel Procyk; Peter F. Dominey (Frontiers Neurorobotics, 2011)

Neuro-inspired Navigation Strategies Shifting for Robots: Integration of a Multiple Landmark Taxon Strategy. - Ken Caluwaerts; Antoine Favre-Félix; Mariacarla Staffa; Steve N'Guyen; Christophe Grand; Benoît Girard 001; Mehdi Khamassi (Living Machines, 2012)

Which Temporal Difference Learning Algorithm Best Reproduces Dopamine Activity in a Multi-choice Task? - Jean Bellot; Olivier Sigaud; Mehdi Khamassi (SAB, 2012)

Design of a Control Architecture for Habit Learning in Robots. - Erwan Renaudo; Benoît Girard 001; Raja Chatila 001; Mehdi Khamassi (Living Machines, 2014)

Modelling Individual Differences in the Form of Pavlovian Conditioned Approach Responses: A Dual Learning Systems Approach with Factored Representations. - Florian Lesaint; Olivier Sigaud; Shelly B. Flagel; Terry E. Robinson; Mehdi Khamassi (PLoS Comput. Biol., 2014)

Respective Advantages and Disadvantages of Model-based and Model-free Reinforcement Learning in a Robotics Neuro-inspired Cognitive Architecture. - Erwan Renaudo; Benoît Girard 001; Raja Chatila 001; Mehdi Khamassi (BICA, 2015)

Which criteria for autonomously shifting between goal-directed and habitual behaviors in robots? - Erwan Renaudo; Benoît Girard 001; Raja Chatila 001; Mehdi Khamassi (ICDL-EPIROB, 2015)

Active exploration in parameterized reinforcement learning. - Mehdi Khamassi; Costas S. Tzafestas (CoRR, 2016)

A drift diffusion model of biological source seeking for mobile robots. - Iñaki Rañó; Mehdi Khamassi; KongFatt Wong-Lin (ICRA, 2017)

Sequential Action Selection for Budgeted Localization in Robots. - Nassim Aklil; Benoît Girard 001; Mehdi Khamassi; Ludovic Denoyer (IRC, 2017)

Active Exploration and Parameterized Reinforcement Learning Applied to a Simulated Human-Robot Interaction Task. - Mehdi Khamassi; George Velentzas; Theodore Tsitsimis; Costas S. Tzafestas (IRC, 2017)

Reinforcement Learning for Bio-Inspired Target Seeking. - James Gillespie; Iñaki Rañó; Nazmul H. Siddique; José Santos; Mehdi Khamassi (TAROS, 2017)

Adaptive coordination of working-memory and reinforcement learning in non-human primates performing a trial-and-error problem solving task. - Guillaume Viejo; Benoît Girard 001; Emmanuel Procyk; Mehdi Khamassi (CoRR, 2017)

Sustainable computational science: the ReScience initiative. - 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; et al. (PeerJ Comput. Sci., 2017)

Computational Model of the User's Learning Process When Cued by a Social Versus Non-Social Agent. - Ouriel Grynszpan; Esther Mouquet; Matthew F. S. Rushworth; Jérôme Sallet; Mehdi Khamassi (HAI, 2018)

Prioritized Sweeping Neural DynaQ with Multiple Predecessors, and Hippocampal Replays. - Lise Aubin; Mehdi Khamassi; Benoît Girard 001 (Living Machines, 2018)

A Framework for Robot Learning During Child-Robot Interaction with Human Engagement as Reward Signal. - Mehdi Khamassi; Georgia Chalvatzaki; Theodore Tsitsimis; George Velentzas; Costas S. Tzafestas (RO-MAN, 2018)

Toward Self-Aware Robots. - Raja Chatila 001; Erwan Renaudo; Mihai Andries; Ricardo Omar Chávez García; Pierre Luce-Vayrac; Raphaël Gottstein; Rachid Alami 001; Aurélie Clodic; Sandra Devin; Benoît Girard 001; Mehdi Khamassi (Frontiers Robotics AI, 2018)

Sequential Action Selection and Active Sensing for Budgeted Localization in Robot Navigation. - Nassim Aklil; Benoît Girard 001; Ludovic Denoyer; Mehdi Khamassi (Int. J. Semantic Comput., 2018)

Adaptive reinforcement learning with active state-specific exploration for engagement maximization during simulated child-robot interaction. - George Velentzas; Theodore Tsitsimis; Iñaki Rañó; Costas S. Tzafestas; Mehdi Khamassi (Paladyn J. Behav. Robotics, 2018)

Interactions of spatial strategies producing generalization gradient and blocking: A computational approach. - Laurent Dollé; Ricardo Chavarriaga; Agnès Guillot; Mehdi Khamassi (PLoS Comput. Biol., 2018)

Robot Fast Adaptation to Changes in Human Engagement During Simulated Dynamic Social Interaction With Active Exploration in Parameterized Reinforcement Learning. - Mehdi Khamassi; George Velentzas; Theodore Tsitsimis; Costas S. Tzafestas (IEEE Trans. Cogn. Dev. Syst., 2018)

A Deep Learning Approach for Multi-View Engagement Estimation of Children in a Child-Robot Joint Attention Task. - Jack Hadfield; Georgia Chalvatzaki; Petros Koutras; Mehdi Khamassi; Costas S. Tzafestas; Petros Maragos (IROS, 2019)

Using Reinforcement Learning to Attenuate for Stochasticity in Robot Navigation Controllers. - James Gillespie; Iñaki Rañó; Nazmul H. Siddique; José Santos; Mehdi Khamassi (SSCI, 2019)

When Artificial Intelligence and Computational Neuroscience Meet. - Frédéric Alexandre; Peter F. Dominey; Philippe Gaussier; Benoît Girard 001; Mehdi Khamassi; Nicolas P. Rougier (A Guided Tour of Artificial Intelligence Research (3) (III), 2020)

Periodic movement learning in a soft-robotic arm*. - Paris Oikonomou; Mehdi Khamassi; Costas S. Tzafestas (ICRA, 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. - Rémi Dromnelle; Erwan Renaudo; Guillaume Pourcel; Raja Chatila 001; Benoît Girard 001; Mehdi Khamassi (Living Machines, 2020)

Coping with the variability in humans reward during simulated human-robot interactions through the coordination of multiple learning strategies. - Rémi Dromnelle; Benoît Girard 001; Erwan Renaudo; Raja Chatila 001; Mehdi Khamassi (RO-MAN, 2020)

Adaptive Coordination of Multiple Learning Strategies in Brains and Robots. - Mehdi Khamassi (TPNC, 2020)

Modeling awake hippocampal reactivations with model-based bidirectional search. - Mehdi Khamassi; Benoît Girard 001 (Biol. Cybern., 2020)

DREAM Architecture: a Developmental Approach to Open-Ended Learning in Robotics. - Stéphane Doncieux; Nicolas Bredèche; Leni K. Le Goff; Benoît Girard 001; Alexandre Coninx; Olivier Sigaud; Mehdi Khamassi; Natalia Díaz Rodríguez; David Filliat; Timothy M. Hospedales; A. E. Eiben; Richard J. Duro (CoRR, 2020)

Special Issue on Behavior Adaptation, Interaction, and Artificial Perception for Assistive Robotics. - Mariacarla Staffa; Silvia Rossi 002; Adriana Tapus; Mehdi Khamassi (Int. J. Soc. Robotics, 2020)

A Novel Reinforcement-Based Paradigm for Children to Teach the Humanoid Kaspar Robot. - Abolfazl Zaraki; Mehdi Khamassi; Luke Jai Wood; Gabriella Lakatos; Costas S. Tzafestas; Farshid Amirabdollahian; Ben Robins; Kerstin Dautenhahn (Int. J. Soc. Robotics, 2020)

Stability Analysis of Bio-inspired Source Seeking with Noisy Sensors. - Iñaki Rañó; Mehdi Khamassi; KongFatt Wong-Lin (ECC, 2021)

Task Driven Skill Learning in a Soft-Robotic Arm. - Paris Oikonomou; Athanasios Dometios; Mehdi Khamassi; Costas S. Tzafestas (IROS, 2021)

Reproduction of Human Demonstrations with a Soft-Robotic Arm based on a Library of Learned Probabilistic Movement Primitives. - Paris Oikonomou; Athanasios Dometios; Mehdi Khamassi; Costas S. Tzafestas (ICRA, 2022)

Model-Based and Model-Free Replay Mechanisms for Reinforcement Learning in Neurorobotics. - Elisa Massi; Jeanne Barthélemy; Juliane Mailly; Rémi Dromnelle; Julien Canitrot; Esther Poniatowski; Benoît Girard 001; Mehdi Khamassi (Frontiers Neurorobotics, 2022)

Editorial: Computational models of affordance for robotics. - Erwan Renaudo; Philipp Zech; Raja Chatila 001; Mehdi Khamassi (Frontiers Neurorobotics, 2022)

Editorial: Neurorobotics explores the human senses. - Mehdi Khamassi; Marco Mirolli; Christian Wallraven (Frontiers Neurorobotics, 2023)

Reducing Computational Cost During Robot Navigation and Human-Robot Interaction with a Human-Inspired Reinforcement Learning Architecture. - Rémi Dromnelle; Erwan Renaudo; Mohamed Chetouani; Petros Maragos; Raja Chatila 001; Benoît Girard 001; Mehdi Khamassi (Int. J. Soc. Robotics, 2023)

Zero-shot model-free learning of periodic movements for a bio-inspired soft-robotic arm. - Paris Oikonomou; Athanasios Dometios; Mehdi Khamassi; Costas S. Tzafestas (Frontiers Robotics AI, 2023)

Computational Model of the Transition from Novice to Expert Interaction Techniques. - Gilles Bailly; Mehdi Khamassi; Benoît Girard 001 (ACM Trans. Comput. Hum. Interact., 2023)

Online Prediction of Novel Trajectories Using a Library of Movement Primitives. - Paris Oikonomou; Athanasios Dometios; Mehdi Khamassi; Costas S. Tzafestas (ICDL, 2024)

Purpose for Open-Ended Learning Robots: A Computational Taxonomy, Definition, and Operationalisation. - Gianluca Baldassarre; Richard J. Duro; Emilio Cartoni; Mehdi Khamassi; Alejandro Romero; Vieri Giuliano Santucci (CoRR, 2024)

Artificial consciousness. Some logical and conceptual preliminaries. - Kathinka Evers; Michele Farisco; Raja Chatila 001; B. D. Earp; Ismael T. Freire; F. Hamker; E. Nemeth; Paul F. M. J. Verschure; Mehdi Khamassi (CoRR, 2024)

Strong and weak alignment of large language models with human values. - Mehdi Khamassi; Marceau Nahon; Raja Chatila 001 (CoRR, 2024)