Mehdi Khamassi
Orcid: 0000-0002-2515-1046
According to our database1,
Mehdi Khamassi
authored at least 50 papers
between 2005 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Purpose for Open-Ended Learning Robots: A Computational Taxonomy, Definition, and Operationalisation.
CoRR, 2024
2023
ACM Trans. Comput. Hum. Interact., October, 2023
Zero-shot model-free learning of periodic movements for a bio-inspired soft-robotic arm.
Frontiers Robotics AI, October, 2023
Reducing Computational Cost During Robot Navigation and Human-Robot Interaction with a Human-Inspired Reinforcement Learning Architecture.
Int. J. Soc. Robotics, August, 2023
Frontiers Neurorobotics, June, 2023
2022
Frontiers Neurorobotics, September, 2022
Model-Based and Model-Free Replay Mechanisms for Reinforcement Learning in Neurorobotics.
Frontiers Neurorobotics, September, 2022
Reproduction of Human Demonstrations with a Soft-Robotic Arm based on a Library of Learned Probabilistic Movement Primitives.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022
2021
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021
Proceedings of the 2021 European Control Conference, 2021
2020
A Novel Reinforcement-Based Paradigm for Children to Teach the Humanoid Kaspar Robot.
Int. J. Soc. Robotics, 2020
Special Issue on Behavior Adaptation, Interaction, and Artificial Perception for Assistive Robotics.
Int. J. Soc. Robotics, 2020
CoRR, 2020
Biol. Cybern., 2020
Proceedings of the Theory and Practice of Natural Computing - 9th International Conference, 2020
Coping with the variability in humans reward during simulated human-robot interactions through the coordination of multiple learning strategies.
Proceedings of the 29th IEEE International Conference on Robot and Human Interactive Communication, 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.
Proceedings of the Biomimetic and Biohybrid Systems - 9th International Conference, 2020
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020
2019
Using Reinforcement Learning to Attenuate for Stochasticity in Robot Navigation Controllers.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019
A Deep Learning Approach for Multi-View Engagement Estimation of Children in a Child-Robot Joint Attention Task.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019
2018
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., 2018
Interactions of spatial strategies producing generalization gradient and blocking: A computational approach.
PLoS Comput. Biol., 2018
Adaptive reinforcement learning with active state-specific exploration for engagement maximization during simulated child-robot interaction.
Paladyn J. Behav. Robotics, 2018
Sequential Action Selection and Active Sensing for Budgeted Localization in Robot Navigation.
Int. J. Semantic Comput., 2018
A Framework for Robot Learning During Child-Robot Interaction with Human Engagement as Reward Signal.
Proceedings of the 27th IEEE International Symposium on Robot and Human Interactive Communication, 2018
Prioritized Sweeping Neural DynaQ with Multiple Predecessors, and Hippocampal Replays.
Proceedings of the Biomimetic and Biohybrid Systems - 7th International Conference, 2018
Computational Model of the User's Learning Process When Cued by a Social Versus Non-Social Agent.
Proceedings of the 6th International Conference on Human-Agent Interaction, 2018
2017
PeerJ Comput. Sci., 2017
Adaptive coordination of working-memory and reinforcement learning in non-human primates performing a trial-and-error problem solving task.
CoRR, 2017
Proceedings of the Towards Autonomous Robotic Systems - 18th Annual Conference, 2017
Active Exploration and Parameterized Reinforcement Learning Applied to a Simulated Human-Robot Interaction Task.
Proceedings of the First IEEE International Conference on Robotic Computing, 2017
Proceedings of the First IEEE International Conference on Robotic Computing, 2017
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017
2016
2015
Which criteria for autonomously shifting between goal-directed and habitual behaviors in robots?
Proceedings of the 2015 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, 2015
Respective Advantages and Disadvantages of Model-based and Model-free Reinforcement Learning in a Robotics Neuro-inspired Cognitive Architecture.
Proceedings of the 6th Annual International Conference on Biologically Inspired Cognitive Architectures, 2015
2014
Modelling Individual Differences in the Form of Pavlovian Conditioned Approach Responses: A Dual Learning Systems Approach with Factored Representations.
PLoS Comput. Biol., 2014
Proceedings of the Biomimetic and Biohybrid Systems - Third International Conference, 2014
2012
Which Temporal Difference Learning Algorithm Best Reproduces Dopamine Activity in a Multi-choice Task?
Proceedings of the From Animals to Animats 12, 2012
Neuro-inspired Navigation Strategies Shifting for Robots: Integration of a Multiple Landmark Taxon Strategy.
Proceedings of the Biomimetic and Biohybrid Systems - First International Conference, 2012
2011
Robot Cognitive Control with a Neurophysiologically Inspired Reinforcement Learning Model.
Frontiers Neurorobotics, 2011
2010
Principal component analysis of ensemble recordings reveals cell assemblies at high temporal resolution.
J. Comput. Neurosci., 2010
A Computational Model of Integration between Reinforcement Learning and Task Monitoring in the Prefrontal Cortex.
Proceedings of the From Animals to Animats 11, 2010
2008
Analyzing Interactions between Navigation Strategies Using a Computational Model of Action Selection.
Proceedings of the Spatial Cognition VI. Learning, 2008
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).
PhD thesis, 2007
2006
Combining Self-organizing Maps with Mixtures of Experts: Application to an Actor-Critic Model of Reinforcement Learning in the Basal Ganglia.
Proceedings of the From Animals to Animats 9, 2006
2005
Robotics Auton. Syst., 2005
Actor-Critic Models of Reinforcement Learning in the Basal Ganglia: From Natural to Artificial Rats.
Adapt. Behav., 2005