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Publications de l’équipe AMAC

  • 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)
  • Giuseppe Paolo, Alexandre Coninx, Stéphane Doncieux, Alban Laflaquière (2021). Sparse Reward Exploration via Novelty Search and Emitters. The Genetic and Evolutionary Computation Conference 2021 (GECCO 2021)
  • I Rañó, Mehdi Khamassi, K Wong-Lin (2021). Stability Analysis of Bio-inspired Source Seeking with Noisy Sensors. 2021 European Control Conference (ECC)
  • Raja Chatila, Mohamed Chetouani, Renaud Debailly, Karën Fort, Ferdinand Dhombres, Emmanuel Fournier, Laïla Khellaf, Sophie Lavault, Sébastien Payan, Émilie Pesce, Agnès Roby-Brami, Monique van Donzel (2021). L’éthique de la recherche en temps de pandémie : un retour d’expérience. Sorbonnavirus - Regards sur la crise du coronavirus
  • Natalia Díaz-Rodríguez, Rūta Binkytė-Sadauskienė, Wafae Bakkali, Sannidhi Bookseller, Paola Tubaro, Andrius Bacevicius, Raja Chatila (2021). Questioning causality on sex, gender and COVID-19, and identifying bias in large-scale data-driven analyses: the Bias Priority Recommendations and Bias Catalog for Pandemics.
  • Ahmed Akakzia, Cédric Colas, Pierre-Yves Oudeyer, Mohamed Chetouani, Olivier Sigaud (2021). Grounding Language to Autonomously-Acquired Skills via Goal Generation. ICLR 2021 - Ninth International Conference on Learning Representation
  • Anis Najar, Olivier Sigaud, Mohamed Chetouani (2021). Teaching a Robot with Unlabeled Instructions: The TICS Architecture. AAMAS 2021
  • Alexandre Chenu, Nicolas Perrin, Stephane Doncieux, Olivier Sigaud (2021). Selection-Expansion: A Unifying Framework for Motion-Planning and Diversity Search Algorithms.
  • Geoffrey Schoenbaum, Mehdi Khamassi, Mathias Pessiglione, Jay Gottfried, Elisabeth Murray (2021). The magical orbitofrontal cortex.. Behavioral Neuroscience Vol 135 Pages 108 - 108.
  • Hugues Berry, Stéphane Genet (2021). A model of on/off transitions in neurons of the deep cerebellar nuclei: deciphering the underlying ionic mechanisms. Journal of Mathematical Neuroscience Vol 11 Pages 1-34.
  • 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.
  • Cédric Colas, Tristan Karch, Olivier Sigaud, Pierre-Yves Oudeyer (2021). Intrinsically Motivated Goal-Conditioned Reinforcement Learning: a Short Survey.
  • Vincent Fontanier, Matthieu Sarazin, Frederic Stoll, Bruno Delord, Emmanuel Procyk (2021). Local inhibitory control of frontal network metastability underlies the temporal signature of cognitive states.
  • Cédric Colas, Ahmed Akakzia, Pierre-Yves Oudeyer, Mohamed Chetouani, Olivier Sigaud (2021). Language-Conditioned Goal Generation: a New Approach to Language Grounding in RL.
  • Pierre Fournier, Cédric Colas, Mohamed Chetouani, Olivier Sigaud (2021). CLIC: Curriculum Learning and Imitation for object Control in non-rewarding environments. IEEE Transactions on Cognitive and Developmental Systems Vol 13 Pages 239-248.
  • 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)
  • Heiko Hamann, Melanie Schranz, Wilfried Elmenreich, Vito Trianni, Carlo Pinciroli, Nicolas Bredeche, Eliseo Ferrante (2020). Editorial: Designing Self-Organization in the Physical Realm. Frontiers in Robotics and AI Vol 7
  • Nelson de Moura, Raja Chatila, Katherine Evans, Stéphane Chauvier, Ebru Dogan (2020). Ethical decision making for autonomous vehicles. IEEE Symposium on Intelligent Vehicle
  • Guillaume Matheron, Nicolas Perrin, Olivier Sigaud (2020). Understanding Failures of Deterministic Actor-Critic with Continuous Action Spaces and Sparse Rewards. Artificial Neural Networks and Machine Learning – ICANN 2020 Pages 308-320.
  • Guillaume Matheron, Nicolas Perrin, Olivier Sigaud (2020). PBCS: Efficient Exploration and Exploitation Using a Synergy Between Reinforcement Learning and Motion Planning. Artificial Neural Networks and Machine Learning – ICANN 2020 Pages 295-307.
  • Raja Chatila, Katherine Evans, Nelson de Moura, Stéphane Chauvier, Ebru Dogan (2020). Ethical Decision Making in Autonomous Vehicles: The AV Ethics Project. Science and Engineering Ethics
  • 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
  • Astrid Merckling, Alexandre Coninx, Loic Cressot, Stephane Doncieux, Nicolas Perrin (2020). State Representation Learning from Demonstration. 6th International Conference on Machine Learning, Optimization, and Data Science, LOD 2020
  • Paul Ecoffet, Jean-Baptiste André, Nicolas Bredeche (2020). Learning to Cooperate in a Socially Optimal Way in Swarm Robotics. The 2020 Conference on Artificial Life Pages 251-259.
  • Stephane Doncieux, Giuseppe Paolo, Alban Laflaquière, Alexandre Coninx (2020). Novelty Search makes Evolvability Inevitable. GECCO '20
  • 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
  • Benoît Girard, Jean Liénard, Carlos Enrique Gutierrez, Bruno Delord, Kenji Doya (2020). Computational Neuroscience A biologically constrained spiking neural network model of the primate basal ganglia with overlapping pathways exhibits action selection. European Journal of Neuroscience Vol 00 Pages 1 - 24.
  • Ryan Lober, Olivier Sigaud, Vincent Padois (2020). Task Feasibility Maximization using Model-Free Policy Search and Model-Based Whole-Body Control. Frontiers in Robotics and AI Vol 7
  • Joel Lehman, Jeff Clune, Dusan Misevic, Christoph Adami, Julie Beaulieu, Peter J. Bentley, Samuel Bernard, Guillaume Beslon, David M. Bryson, Nick Cheney, Antoine Cully, Stéphane Doncieux, Fred C. Dyer, Kai Olav Ellefsen, Robert Feldt, Stephan Fischer, Stephanie Forrest, Antoine Frenoy, Christian Gagneé, Leni Le Goff, Laura M. Grabowski, Babak Hodjat, Laurent Keller, Carole Knibbe, Peter Krcah, Richard E. Lenski, Hod Lipson, Robert Maccurdy, Carlos Maestre, Risto Miikkulainen, Sara Mitri, David E. Moriarty, Jean-Baptiste Mouret, Anh Nguyen, Charles Ofria, Marc Parizeau, David Parsons, Robert T. Pennock, William F. Punch, Thomas S. Ray, Marc Schoenauer, Eric Shulte, Karl Sims, Kenneth O. Stanley, Francois Taddei, Danesh Tarapore, Simon Thibault, Westley Weimer, Richard Watson, Jason Yosinksi (2020). The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities. Artificial Life Vol 26 Pages 274-306.
  • 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.
  • Alejandro Barredo Arrieta, Natalia Díaz-Rodríguez, Javier del Ser, Adrien Bennetot, Siham Tabik, Alberto Barbado, Salvador García, Sergio Gil-López, Daniel Molina, Richard Benjamins, Raja Chatila, Francisco Herrera (2020). Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI. Information Fusion Vol 58
  • 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
  • Anis Najar, Olivier Sigaud, Mohamed Chetouani (2020). Interactively shaping robot behaviour with unlabeled human instructions. Autonomous Agents and Multi-Agent Systems Vol 34
  • Arthur Bernard, Nicolas Bredèche, Jean-Baptiste André (2020). Indirect genetic effects allow escape from the inefficient equilibrium in a coordination game. Evolution Letters
  • Giuseppe Paolo, Alban Laflaquière, Alexandre Coninx, Stephane Doncieux (2020). Unsupervised Learning and Exploration of Reachable Outcome Space. IEEE International Conference on Robotics and Automation (ICRA)
  • Mehdi Khamassi, Benoît Girard (2020). Modeling awake hippocampal reactivations with model-based bidirectional search. Biological Cybernetics (Modeling)
  • Alexis Duburcq, Yann Chevaleyre, Nicolas Bredeche, Guilhem Boéris (2020). Online Trajectory Planning Through Combined Trajectory Optimization and Function Approximation: Application to the Exoskeleton Atalante. ICRA 2020- International Conference on Robotics and Automation
  • Nicolas Fontbonne, Olivier Dauchot, Nicolas Bredeche (2020). Distributed On-line Learning in Swarm Robotics with Limited Communication Bandwidth. IEEE Congress on Evolutionary Computation
  • Marwen Belkaid, Elise Bousseyrol, Romain Durand-de Cuttoli, Malou Dongelmans, Etienne Duranté, Tarek Yahia, Steve Didienne, Bernadette Hanesse, Maxime Come, Alexandre Mourot, Jérémie Naudé, Philippe Faure, Olivier Sigaud (2020). Mice adaptively generate choice variability in a deterministic task. Communications Biology Vol 3 Pages 34.
  • Jean Godon, Sylvain Argentieri, Bruno Gas (2020). A Formal Account of Structuring Motor Actions With Sensory Prediction for a Naive Agent. Frontiers in Robotics and AI
  • Léni K. Le Goff, Emma Hart, Alexandre Coninx, Stéphane Doncieux (2020). On pros and cons of evolving topologies with novelty search. Artificial Life Conference Proceedings Pages 423-431.
  • Felix Rutard, Olivier Sigaud, Mohamed Chetouani (2020). Tirl: enriching actor-critic RL with non-expert human teachers and a trust model. The 29th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN
  • Benoît Girard (2019). The seven donkeys: Super A.I. performance in animal categorization by an immature Human brain.
  • Aloïs Pourchot, Nicolas Perrin, Olivier Sigaud (2019). Importance mixing: Improving sample reuse in evolutionary policy search methods.
  • 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)
  • Thomas Pierrot, Nicolas Perrin, Olivier Sigaud (2019). First-order and second-order variants of the gradient descent in a unified framework.
  • Bénédicte Babayan, Aurélie Watilliaux, Guillaume Viejo, Anne-Lise Paradis, Benoît Girard, Laure Rondi-Reig (2019). Author Correction: A hippocampo-cerebellar centred network for the learning and execution of sequence-based navigation. Scientific Reports Vol 9 Pages 19904.