Bibliography

Major publications by the team in recent years

• 1A. Baranes, P.-Y. Oudeyer.
  
  RIAC: Robust Intrinsically Motivated Exploration and Active Learning, in: IEEE Trans. on Auto. Ment. Dev., 2009, vol. 1, n^o 3, pp. 155-169.
  
  http://www.pyoudeyer.com/TAMDBaranesOudeyer09.pdf
• 2A. Baranes, P.-Y. Oudeyer.
  
  The Interaction of Maturational Constraints and Intrinsic Motivations in Active Motor Development, in: ICDL - EpiRob, Frankfurt, Germany, August 2011.
  
  http://hal.inria.fr/hal-00646585/en
• 3A. Baranes, P.-Y. Oudeyer.
  
  Active Learning of Inverse Models with Intrinsically Motivated Goal Exploration in Robots, in: Robotics and Autonomous Systems, January 2013, vol. 61, n^o 1, pp. 69-73. [ DOI : 10.1016/j.robot.2012.05.008 ]
  
  https://hal.inria.fr/hal-00788440
• 4A. Baranes, P.-Y. Oudeyer, J. Gottlieb.
  
  The effects of task difficulty, novelty and the size of the search space on intrinsically motivated exploration, in: Frontiers in Neuroscience, October 2014, vol. 8, n^o 317, pp. 1-9. [ DOI : 10.3389/fnins.2014.00317 ]
  
  https://hal.inria.fr/hal-01087227
• 5A. Baranes, P.-Y. Oudeyer, J. Gottlieb.
  
  Eye movements reveal epistemic curiosity in human observers, in: Vision Research, November 2015, vol. 117, 9 p. [ DOI : 10.1016/j.visres.2015.10.009 ]
  
  https://hal.inria.fr/hal-01250727
• 6A. Baranes, P.-Y. Oudeyer.
  
  R-IAC: Robust Intrinsically Motivated Exploration and Active Learning, in: IEEE Transaction on Autonomous Mental Development, 12 2009.
• 7A. Baranès, P. Oudeyer.
  
  R-IAC: Robust intrinsically motivated exploration and active learning, in: Autonomous Mental Development, IEEE Transactions on, 2009, vol. 1, n^o 3, pp. 155–169.
• 8F. Benureau, P.-Y. Oudeyer.
  
  Behavioral Diversity Generation in Autonomous Exploration through Reuse of Past Experience, in: Frontiers in Robotics and AI, March 2016, vol. 3, n^o 8. [ DOI : 10.3389/frobt.2016.00008 ]
  
  https://hal.inria.fr/hal-01404329
• 9J. Buchli, F. Stulp, E. Theodorou, S. Schaal.
  
  Learning Variable Impedance Control, in: International Journal of Robotics Research, 2011, vol. 30, n^o 7, pp. 820-833.
  
  http://ijr.sagepub.com/content/early/2011/03/31/0278364911402527
• 10L.-C. Caron, Y. Song, D. Filliat, A. Gepperth.
  
  Neural network based 2D/3D fusion for robotic object recognition, in: ESANN, Bruges, Belgium, May 2014, pp. 127 - 132.
  
  https://hal.archives-ouvertes.fr/hal-01012090
• 11T. Cederborg, P.-Y. Oudeyer.
  
  From Language to Motor Gavagai: Unified Imitation Learning of Multiple Linguistic and Non-linguistic Sensorimotor Skills, in: IEEE Transactions on Autonomous Mental Development (TAMD), 2013.
  
  https://hal.inria.fr/hal-00910982
• 12Y. Chen, J.-B. Bordes, D. Filliat.
  
  An experimental comparison between NMF and LDA for active cross-situational object-word learning, in: ICDL EPIROB 2016, Cergy-Pontoise, France, Proceedings of the The Sixth Joint IEEE International Conference Developmental Learning and Epigenetic Robotics (ICDL EPIROB 2016), September 2016.
  
  https://hal.archives-ouvertes.fr/hal-01370853
• 13Y. Chen, D. Filliat.
  
  Cross-situational noun and adjective learning in an interactive scenario, in: ICDL-Epirob, Providence, United States, August 2015.
  
  https://hal.archives-ouvertes.fr/hal-01170674
• 14B. Clement, D. Roy, P.-Y. Oudeyer, M. Lopes.
  
  Multi-Armed Bandits for Intelligent Tutoring Systems, in: Journal of Educational Data Mining (JEDM), June 2015, vol. 7, n^o 2, pp. 20–48.
  
  https://hal.inria.fr/hal-00913669
• 15C. Craye, D. Filliat, J.-F. Goudou.
  
  Environment Exploration for Object-Based Visual Saliency Learning, in: ICRA 2016, Stockholm, Sweden, Proceedings of the International Conference on Robotics and Automation, May 2016.
  
  https://hal.archives-ouvertes.fr/hal-01289159
• 16C. Craye, D. Filliat, J.-F. Goudou.
  
  RL-IAC: An Exploration Policy for Online Saliency Learning on an Autonomous Mobile Robot, in: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Daejeon, South Korea, October 2016.
  
  https://hal.archives-ouvertes.fr/hal-01392947
• 17T. Degris, M. White, R. Sutton.
  
  Off-Policy Actor-Critic, in: International Conference on Machine Learning, 2012.
  
  http://hal.inria.fr/hal-00764021
• 18S. Forestier, P.-Y. Oudeyer.
  
  Curiosity-Driven Development of Tool Use Precursors: a Computational Model, in: 38th Annual Conference of the Cognitive Science Society (CogSci 2016), Philadelphie, PA, United States, A. Papafragou, D. Grodner, D. Mirman, J. Trueswell (editors), , Proceedings of the 38th Annual Conference of the Cognitive Science Society, August 2016, pp. 1859–1864.
  
  https://hal.archives-ouvertes.fr/hal-01354013
• 19S. Forestier, P.-Y. Oudeyer.
  
  Modular Active Curiosity-Driven Discovery of Tool Use, in: IEEE/RSJ International Conference on Intelligent Robots and Systems, Daejeon, South Korea, Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016.
  
  https://hal.archives-ouvertes.fr/hal-01384566
• 20A. Gepperth.
  
  Efficient online bootstrapping of sensory representations, in: Neural Networks, December 2012. [ DOI : 10.1016/j.neunet.2012.11.002 ]
  
  http://hal.inria.fr/hal-00763660
• 21A. Gepperth, S. Rebhan, S. Hasler, J. Fritsch.
  
  Biased competition in visual processing hierarchies: a learning approach using multiple cues, in: Cognitive Computation, March 2011, vol. 3, n^o 1.
  
  http://hal.archives-ouvertes.fr/hal-00647809/en/
• 22J. Gottlieb, P.-Y. Oudeyer, M. Lopes, A. Baranes.
  
  Information-seeking, curiosity, and attention: computational and neural mechanisms, in: Trends in Cognitive Sciences, November 2013, vol. 17, n^o 11, pp. 585-93. [ DOI : 10.1016/j.tics.2013.09.001 ]
  
  https://hal.inria.fr/hal-00913646
• 23J. Grizou, I. Iturrate, L. Montesano, P.-Y. Oudeyer, M. Lopes.
  
  Calibration-Free BCI Based Control, in: Twenty-Eighth AAAI Conference on Artificial Intelligence, Quebec, Canada, July 2014, pp. 1-8.
  
  https://hal.archives-ouvertes.fr/hal-00984068
• 24I. Iturrate, J. Grizou, O. Jason, P.-Y. Oudeyer, M. Lopes, L. Montesano.
  
  Exploiting Task Constraints for Self-Calibrated Brain-Machine Interface Control Using Error-Related Potentials, in: PLoS ONE, July 2015. [ DOI : 10.1371/journal.pone.0131491 ]
  
  https://hal.inria.fr/hal-01246436
• 25S. Ivaldi, S. M. Nguyen, N. Lyubova, A. Droniou, V. Padois, D. Filliat, P.-Y. Oudeyer, O. Sigaud.
  
  Object learning through active exploration, in: IEEE Transactions on Autonomous Mental Development, 2013, pp. 1-18. [ DOI : 10.1109/TAMD.2013.2280614 ]
  
  https://hal.archives-ouvertes.fr/hal-00919694
• 26M. Lapeyre.
  
  Poppy: open-source, 3D printed and fully-modular robotic platform for science, art and education, Université de Bordeaux, November 2014.
  
  https://hal.inria.fr/tel-01104641
• 27M. Lapeyre, S. N'Guyen, A. Le Falher, P.-Y. Oudeyer.
  
  Rapid morphological exploration with the Poppy humanoid platform, in: 2014 IEEE-RAS International Conference on Humanoid Robots, Madrid, Spain, November 2014, 8 p.
  
  https://hal.inria.fr/hal-01096344
• 28M. Lapeyre, P. Rouanet, J. Grizou, S. Nguyen, F. Depraetre, A. Le Falher, P.-Y. Oudeyer.
  
  Poppy Project: Open-Source Fabrication of 3D Printed Humanoid Robot for Science, Education and Art, in: Digital Intelligence 2014, Nantes, France, September 2014, 6 p.
  
  https://hal.inria.fr/hal-01096338
• 29M. Lopes, T. Lang, M. Toussaint, P.-Y. Oudeyer.
  
  Exploration in Model-based Reinforcement Learning by Empirically Estimating Learning Progress, in: Neural Information Processing Systems (NIPS), Lake Tahoe, United States, December 2012.
  
  http://hal.inria.fr/hal-00755248
• 30M. Lopes, L. Montesano.
  
  Active Learning for Autonomous Intelligent Agents: Exploration, Curiosity, and Interaction, in: CoRR, 2014, vol. abs/1403.1, 40 p.
• 31M. Lopes, P.-Y. Oudeyer.
  
  The Strategic Student Approach for Life-Long Exploration and Learning, in: IEEE Conference on Development and Learning / EpiRob 2012, San Diego, United States, November 2012.
  
  https://hal.inria.fr/hal-00755216
• 32N. Lyubova, D. Filliat.
  
  Developmental Approach for Interactive Object Discovery, in: Neural Networks (IJCNN), The 2012 International Joint Conference on, Australia, June 2012, pp. 1-7. [ DOI : 10.1109/IJCNN.2012.6252606 ]
  
  https://hal.archives-ouvertes.fr/hal-00755298
• 33N. Lyubova, S. Ivaldi, D. Filliat.
  
  From passive to interactive object learning and recognition through self-identification on a humanoid robot, in: Autonomous Robots, 2015, 23 p. [ DOI : 10.1007/s10514-015-9445-0 ]
  
  https://hal.archives-ouvertes.fr/hal-01166110
• 34O. Mangin, D. Filliat, L. ten Bosch, P.-Y. Oudeyer.
  
  MCA-NMF: Multimodal Concept Acquisition with Non-Negative Matrix Factorization, in: PLoS ONE, October 2015, vol. 10, n^o 10, e0140732 p. [ DOI : 10.1371/journal.pone.0140732.t005 ]
  
  https://hal.archives-ouvertes.fr/hal-01137529
• 35O. Mangin, P.-Y. Oudeyer.
  
  Learning Semantic Components from Subsymbolic Multimodal Perception, in: Joint IEEE International Conference on Development and Learning an on Epigenetic Robotics (ICDL-EpiRob), Osaka, Japan, IEEE, August 2013.
  
  https://hal.inria.fr/hal-00842453
• 36A. Matricon, D. Filliat, P.-Y. Oudeyer.
  
  An Iterative Algorithm for Forward-Parameterized Skill Discovery, in: ICDL EPIROB 2016, Cergy-Pontoise, France, Proceedings of the The Sixth Joint IEEE International Conference Developmental Learning and Epigenetic Robotics, September 2016.
  
  https://hal.archives-ouvertes.fr/hal-01370820
• 37C. Moulin-Frier, S. M. Nguyen, P.-Y. Oudeyer.
  
  Self-Organization of Early Vocal Development in Infants and Machines: The Role of Intrinsic Motivation, in: Frontiers in Psychology, 2013, vol. 4, n^o 1006. [ DOI : 10.3389/fpsyg.2013.01006 ]
  
  https://hal.inria.fr/hal-00927940
• 38C. Moulin-Frier, P.-Y. Oudeyer.
  
  Exploration strategies in developmental robotics: a unified probabilistic framework, in: ICDL-Epirob - International Conference on Development and Learning, Epirob, Osaka, Japan, August 2013.
  
  https://hal.inria.fr/hal-00860641
• 39C. Moulin-Frier, P. Rouanet, P.-Y. Oudeyer.
  
  Explauto: an open-source Python library to study autonomous exploration in developmental robotics, in: ICDL-Epirob - International Conference on Development and Learning, Epirob, Genoa, Italy, October 2014.
  
  https://hal.inria.fr/hal-01061708
• 40T. Munzer, B. Piot, M. Geist, O. Pietquin, M. Lopes.
  
  Inverse Reinforcement Learning in Relational Domains, in: International Joint Conferences on Artificial Intelligence, Buenos Aires, Argentina, July 2015.
  
  https://hal.archives-ouvertes.fr/hal-01154650
• 41D. Nabil, M. Lopes, J. Gottlieb.
  
  Intrinsically motivated oculomotor exploration guided by uncertainty reduction and conditioned reinforcement in non-human primates, in: Scientific Reports, February 2016. [ DOI : 10.1038/srep20202 ]
  
  https://hal.inria.fr/hal-01266862
• 42S. M. Nguyen, S. Ivaldi, N. Lyubova, A. Droniou, D. Gerardeaux-Viret, D. Filliat, V. Padois, O. Sigaud, P.-Y. Oudeyer.
  
  Learning to recognize objects through curiosity-driven manipulation with the iCub humanoid robot, in: ICDL-EPIROB, Japan, August 2013, pp. 1–8. [ DOI : 10.1109/DevLrn.2013.6652525 ]
  
  https://hal.archives-ouvertes.fr/hal-00919674
• 43S. M. Nguyen, P.-Y. Oudeyer.
  
  Active Choice of Teachers, Learning Strategies and Goals for a Socially Guided Intrinsic Motivation Learner, in: Paladyn, September 2012, vol. 3, n^o 3, pp. 136-146. [ DOI : 10.2478/s13230-013-0110-z ]
  
  https://hal.inria.fr/hal-00936932
• 44S. M. Nguyen, P.-Y. Oudeyer.
  
  Socially Guided Intrinsically Motivated Learner, in: IEEE International Conference on Development and Learning, San Diego, United States, 2012. [ DOI : 10.1109/DevLrn.2012.6400809 ]
  
  http://hal.inria.fr/hal-00936960
• 45S. M. Nguyen, P.-Y. Oudeyer.
  
  Socially Guided Intrinsic Motivation for Robot Learning of Motor Skills, in: Autonomous Robots, March 2014, vol. 36, n^o 3, pp. 273-294. [ DOI : 10.1007/s10514-013-9339-y ]
  
  https://hal.inria.fr/hal-00936938
• 46P.-Y. Oudeyer, F. Delaunay.
  
  Developmental exploration in the cultural evolution of lexical conventions, in: 8th International Conference on Epigenetic Robotics: Modeling Cognitive Development in Robotic Systems, Brighton, United Kingdom, 2008.
  
  https://hal.inria.fr/inria-00420303
• 47P.-Y. Oudeyer, J. Gottlieb, M. Lopes.
  
  Intrinsic motivation, curiosity and learning: theory and applications in educational technologies, in: Progress in brain research, 2016, vol. 229, pp. 257-284. [ DOI : 10.1016/bs.pbr.2016.05.005 ]
  
  https://hal.inria.fr/hal-01404278
• 48P.-Y. Oudeyer.
  
  On the impact of robotics in behavioral and cognitive sciences: from insect navigation to human cognitive development, in: IEEE Transactions on Autonomous Mental Development, 2010, vol. 2, n^o 1, pp. 2–16.
  
  http://hal.inria.fr/inria-00541783/en/
• 49P.-Y. Oudeyer, L. Smith.
  
  How Evolution May Work Through Curiosity-Driven Developmental Process, in: Topics in cognitive science, February 2016, vol. 8. [ DOI : 10.1111/tops.12196 ]
  
  https://hal.inria.fr/hal-01404334
• 50G. Raiola, X. Lamy, F. Stulp.
  
  Co-manipulation with Multiple Probabilistic Virtual Guides, in: IROS 2015 - International Conference on Intelligent Robots and Systems , Hamburg, Germany, September 2015, pp. 7 - 13. [ DOI : 10.1109/IROS.2015.7353107 ]
  
  https://hal.archives-ouvertes.fr/hal-01170974
• 51G. Raiola, P. Rodriguez-Ayerbe, X. Lamy, S. Tliba, F. Stulp.
  
  Parallel Guiding Virtual Fixtures: Control and Stability, in: ISIC 2015 - IEEE International Symposium on Intelligent Control, Sydney, Australia, September 2015, pp. 53 - 58. [ DOI : 10.1109/ISIC.2015.7307279 ]
  
  https://hal.archives-ouvertes.fr/hal-01250101
• 52P. Rouanet, P.-Y. Oudeyer, F. Danieau, D. Filliat.
  
  The Impact of Human-Robot Interfaces on the Learning of Visual Objects, in: IEEE Transactions on Robotics, January 2013.
  
  http://hal.inria.fr/hal-00758241
• 53W. Schueller, P.-Y. Oudeyer.
  
  Active Learning Strategies and Active Control of Complexity Growth in Naming Games, in: the 5th International Conference on Development and Learning and on Epigenetic Robotics, Providence, RI, United States, August 2015.
  
  https://hal.inria.fr/hal-01202654
• 54F. Stulp, B. Buchli, A. Ellmer, M. Mistry, E. Theodorou, S. Schaal.
  
  Model-free Reinforcement Learning of Impedance Control in Stochastic Force Fields, in: IEEE Transactions on Autonomous Mental Development, 2012.
• 55F. Stulp, A. Fedrizzi, L. Mösenlechner, M. Beetz.
  
  Learning and Reasoning with Action-Related Places for Robust Mobile Manipulation, in: Journal of Artificial Intelligence Research (JAIR), 2012, vol. 43, pp. 1–42.
• 56F. Stulp, J. Grizou, B. Busch, M. Lopes.
  
  Facilitating Intention Prediction for Humans by Optimizing Robot Motions, in: International Conference on Intelligent Robots and Systems (IROS), Hamburg, Germany, September 2015.
  
  https://hal.archives-ouvertes.fr/hal-01170977
• 57F. Stulp, O. Sigaud.
  
  Robot Skill Learning: From Reinforcement Learning to Evolution Strategies, in: Paladyn, 2013, vol. 4, n^o 1, pp. 49-61.
  
  https://hal.archives-ouvertes.fr/hal-00922132
• 58F. Stulp, O. Sigaud.
  
  Many regression algorithms, one unified model - A review, in: Neural Networks, 2015, 28 p. [ DOI : 10.1016/j.neunet.2015.05.005 ]
  
  https://hal.archives-ouvertes.fr/hal-01162281
• 59F. Stulp, E. Theodorou, S. Schaal.
  
  Reinforcement Learning with Sequences of Motion Primitives for Robust Manipulation, in: IEEE Transactions on Robotics, 2012, vol. 28, n^o 6, pp. 1360-1370.

Publications of the year

Doctoral Dissertations and Habilitation Theses

• 60A. Armand.
  
  Situation Understanding and Risk Assessment Framework for Preventive Driver Assistance, Université Paris-Saclay, May 2016.
  
  https://pastel.archives-ouvertes.fr/tel-01421917
• 61A. Gepperth.
  
  New learning paradigms for real-world environment perception, Université Pierre & Marie Curie, June 2016, Habilitation à diriger des recherches.
  
  https://hal.archives-ouvertes.fr/tel-01418147

Articles in International Peer-Reviewed Journals

• 62F. Benureau, P.-Y. Oudeyer.
  
  Behavioral Diversity Generation in Autonomous Exploration through Reuse of Past Experience, in: Frontiers in Robotics and AI, March 2016, vol. 3, n^o 8. [ DOI : 10.3389/frobt.2016.00008 ]
  
  https://hal.inria.fr/hal-01404329
• 63A. Gepperth, M. Garcia Ortiz, E. Sattarov, B. Heisele.
  
  Dynamic attention priors: a new and efficient concept for improving object detection, in: Neurocomputing, 2016, vol. 197, pp. 14 - 28. [ DOI : 10.1016/j.neucom.2016.01.036 ]
  
  https://hal.archives-ouvertes.fr/hal-01418128
• 64A. Gepperth, T. Hecht, M. Gogate.
  
  A Generative Learning Approach to Sensor Fusion and Change Detection, in: Cognitive Computation, 2016, vol. 8, pp. 806 - 817. [ DOI : 10.1007/s12559-016-9390-z ]
  
  https://hal.archives-ouvertes.fr/hal-01418125
• 65A. Gepperth, C. Karaoguz.
  
  A Bio-Inspired Incremental Learning Architecture for Applied Perceptual Problems, in: Cognitive Computation, 2016, vol. 8, pp. 924 - 934. [ DOI : 10.1007/s12559-016-9389-5 ]
  
  https://hal.archives-ouvertes.fr/hal-01418123
• 66D. Nabil, M. Lopes, J. Gottlieb.
  
  Intrinsically motivated oculomotor exploration guided by uncertainty reduction and conditioned reinforcement in non-human primates, in: Scientific Reports, February 2016. [ DOI : 10.1038/srep20202 ]
  
  https://hal.inria.fr/hal-01266862
• 67P.-Y. Oudeyer, J. Gottlieb, M. Lopes.
  
  Intrinsic motivation, curiosity and learning: theory and applications in educational technologies, in: Progress in brain research, 2016, vol. 229, pp. 257-284. [ DOI : 10.1016/bs.pbr.2016.05.005 ]
  
  https://hal.inria.fr/hal-01404278
• 68P.-Y. Oudeyer, M. Lopes, C. Kidd, J. Gottlieb.
  
  Curiosity and Intrinsic Motivation for Autonomous Machine Learning, in: ERCIM News, September 2016, vol. 107, 2 p.
  
  https://hal.inria.fr/hal-01404304
• 69P.-Y. Oudeyer, L. Smith.
  
  How Evolution May Work Through Curiosity-Driven Developmental Process, in: Topics in cognitive science, February 2016, vol. 8. [ DOI : 10.1111/tops.12196 ]
  
  https://hal.inria.fr/hal-01404334
• 70K. J. Rohlfing, B. Wrede, A.-L. Vollmer, P.-Y. Oudeyer.
  
  An Alternative to Mapping a Word onto a Concept in Language Acquisition: Pragmatic Frames, in: Front. Psychol, April 2016, vol. 7, 18 p. [ DOI : 10.3389/fpsyg.2016.00470 ]
  
  https://hal.inria.fr/hal-01404385
• 71A.-L. Vollmer, B. Wrede, K. J. Rohlfing, P.-Y. Oudeyer.
  
  Pragmatic Frames for Teaching and Learning in Human–Robot interaction: Review and Challenges, in: Frontiers in Neurorobotics, October 2016, vol. 10, pp. 1-20. [ DOI : 10.3389/fnbot.2016.00010 ]
  
  https://hal.inria.fr/hal-01376455

Invited Conferences

• 72A. Gepperth, B. Hammer.
  
  Incremental learning algorithms and applications, in: European Symposium on Artificial Neural Networks (ESANN), Bruges, Belgium, 2016.
  
  https://hal.archives-ouvertes.fr/hal-01418129

International Conferences with Proceedings

• 73Y. Ansari, E. Falotico, Y. Mollard, B. Busch, M. Cianchetti, C. Laschi.
  
  A Multiagent Reinforcement Learning Approach for Inverse Kinematics of High Dimensional Manipulators with Precision Positioning, in: BioRob 2016 - 6th IEEE International Conference on Biomedical Robotics and Biomechatronics, Singapore, Singapore, Proceedings of the 6th IEEE International Conference on Biomedical Robotics and Biomechatronics (BioRob 2016), June 2016.
  
  https://hal.archives-ouvertes.fr/hal-01406597
• 74A. Armand, D. Filliat, J. Ibañez-Guzman.
  
  A Bayesian Framework for Preventive Assistance at Road Intersections, in: 2016 IEEE Intelligent Vehicles Symposium (IV'16), Göteborg, Sweden, June 2016.
  
  https://hal.archives-ouvertes.fr/hal-01319046
• 75Y. Chen, J.-B. Bordes, D. Filliat.
  
  An experimental comparison between NMF and LDA for active cross-situational object-word learning, in: ICDL EPIROB 2016, Cergy-Pontoise, France, Proceedings of the The Sixth Joint IEEE International Conference Developmental Learning and Epigenetic Robotics (ICDL EPIROB 2016), September 2016.
  
  https://hal.archives-ouvertes.fr/hal-01370853
• 76B. Clement, P.-Y. Oudeyer, M. Lopes.
  
  A Comparison of Automatic Teaching Strategies for Heterogeneous Student Populations, in: EDM 16 - 9th International Conference on Educational Data Mining, Raleigh, United States, Proceedings of the 9th International Conference on Educational Data Mining, June 2016.
  
  https://hal.inria.fr/hal-01360338
• 77C. Craye, D. Filliat, J.-F. Goudou.
  
  Environment Exploration for Object-Based Visual Saliency Learning, in: ICRA 2016, Stockholm, Sweden, Proceedings of the International Conference on Robotics and Automation, May 2016.
  
  https://hal.archives-ouvertes.fr/hal-01289159
• 78C. Craye, D. Filliat, J.-F. Goudou.
  
  On the Use of Intrinsic Motivation for Visual Saliency Learning, in: ICDL EPIROB 16, Cergy-Pontoise, France, Proceedings of the The Sixth Joint IEEE International Conference Developmental Learning and Epigenetic Robotics, September 2016.
  
  https://hal.archives-ouvertes.fr/hal-01370850
• 79C. Craye, D. Filliat, J.-F. Goudou.
  
  RL-IAC: An Exploration Policy for Online Saliency Learning on an Autonomous Mobile Robot, in: IROS, Daejeon, South Korea, Proceeding of the IEEE/RSJ International Conference on Intelligent Robots and Systems, October 2016.
  
  https://hal.archives-ouvertes.fr/hal-01392947
• 80S. Forestier, P.-Y. Oudeyer.
  
  Curiosity-Driven Development of Tool Use Precursors: a Computational Model, in: 38th Annual Conference of the Cognitive Science Society (CogSci 2016), Philadelphie, PA, United States, A. Papafragou, D. Grodner, D. Mirman, J. Trueswell (editors), , Proceedings of the 38th Annual Conference of the Cognitive Science Society, August 2016, pp. 1859–1864.
  
  https://hal.archives-ouvertes.fr/hal-01354013
• 81S. Forestier, P.-Y. Oudeyer.
  
  Modular Active Curiosity-Driven Discovery of Tool Use, in: IEEE/RSJ International Conference on Intelligent Robots and Systems, Daejeon, South Korea, Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016.
  
  https://hal.archives-ouvertes.fr/hal-01384566
• 82S. Forestier, P.-Y. Oudeyer.
  
  Overlapping Waves in Tool Use Development: a Curiosity-Driven Computational Model, in: The Sixth Joint IEEE International Conference Developmental Learning and Epigenetic Robotics, Cergy-Pontoise, France, 2016.
  
  https://hal.archives-ouvertes.fr/hal-01384562
• 83A. Matricon, D. Filliat, P.-Y. Oudeyer.
  
  An Iterative Algorithm for Forward-Parameterized Skill Discovery, in: ICDL EPIROB 2016, Cergy-Pontoise, France, Proceedings of the The Sixth Joint IEEE International Conference Developmental Learning and Epigenetic Robotics, September 2016.
  
  https://hal.archives-ouvertes.fr/hal-01370820
• 84M. Toussaint, T. Munzer, Y. Mollard, L. Yang Wu, N. A. A. Vien, M. Lopes.
  
  Relational Activity Processes for Modeling Concurrent Cooperation, in: International Conference on Robotics and Automation, Stockholm, Sweden, May 2016, pp. 5505 - 5511. [ DOI : 10.1109/ICRA.2016.7487765 ]
  
  https://hal.inria.fr/hal-01399247

Conferences without Proceedings

• 85A. Gepperth, M. Lefort.
  
  Learning to be attractive: probabilistic computation with dynamic attractor networks, in: Internal Conference on Development and LEarning (ICDL), Cergy-Pontoise, France, 2016.
  
  https://hal.archives-ouvertes.fr/hal-01418141
• 86T. Hecht, A. Gepperth.
  
  Computational Advantages of Deep Prototype-Based Learning, in: International Conference on Artificial Neural Networks (ICANN), Barcelona, Spain, 2016, pp. 121 - 127. [ DOI : 10.1007/978-3-319-44781-0_15 ]
  
  https://hal.archives-ouvertes.fr/hal-01418135
• 87T. Hecht, A. Gepperth.
  
  Towards incremental deep learning: multi-level change detection in a hierarchical recognition architecture, in: European Symposium on Artificial Neural Networks (ESANN), Bruges, Belgium, 2016.
  
  https://hal.archives-ouvertes.fr/hal-01418132
• 88C. Karaoguz, A. Gepperth.
  
  Incremental Learning for Bootstrapping Object Classifier Models, in: IEEE International Conference On Intelligent Transportation Systems (ITSC), Seoul, South Korea, 2016.
  
  https://hal.archives-ouvertes.fr/hal-01418160
• 89T. Kopinski, F. Sachara, A. Gepperth, U. Handmann.
  
  A Deep Learning Approach for Hand Posture Recognition from Depth Data, in: International Conference on Artificial Neural Networks (ICANN), Barcelona, Spain, 2016, pp. 179 - 186. [ DOI : 10.1007/978-3-319-44781-0_22 ]
  
  https://hal.archives-ouvertes.fr/hal-01418137
• 90W. Schueller, P.-Y. Oudeyer.
  
  Active Control of Complexity Growth in Naming Games: Hearer's Choice, in: EVOLANG 2016, New Orleans, United States, March 2016.
  
  https://hal.inria.fr/hal-01333032

Scientific Books (or Scientific Book chapters)

• 91J. Gottlieb, M. Lopes, P.-Y. Oudeyer.
  
  Motivated cognition: Neural and computational mechanisms of curiosity, attention and intrinsic motivation, in: Recent Developments in Neuroscience Research on Human Motivation, S. il Kim, J. Reeve, M. Bong (editors), Advances in Motivation and Achievement, Emerald Group Publishing Limited, September 2016, vol. 19. [ DOI : 10.1108/S0749-742320160000019017 ]
  
  https://hal.inria.fr/hal-01404468
• 92G. Pezzulo, G. Vosgerau, U. F. Frith, A. Hamilton, C. Heyes, A. Iriki, H. Jörntell, P. K. König, S. K. Nagel, P.-Y. Oudeyer, R. D. Rupert, A. Tramacere.
  
  Acting up: An approach to the study of cognitive development, in: The Pragmatic Turn: Toward Action-Oriented Views in Cognitive Science, A. K. Engel, K. J. Friston, D. Kragic (editors), Strüngmann Forum Reports, MIT Press Scholarship Online, 2016, vol. 18.
  
  https://hal.inria.fr/hal-01404503

Books or Proceedings Editing

• 93P.-Y. Oudeyer (editor)
  
  We Need New Scientific Languages to Harness the Complexity of Cognitive Development, IEEE CDS Newsletter on Cognitive and Developmental Systems, IEEE Computational Intelligence Society, June 2016, vol. 13, n^o 1.
  
  https://hal.inria.fr/hal-01404458

Scientific Popularization

• 94T. Guitard, D. Roy, P.-Y. Oudeyer, M. Chevalier.
  
  IniRobot : Activités robotiques avec Thymio II pour l’initiation à l’informatique et à la robotique, January 2016, Des activités robotiques pour l'initiation aux sciences du numérique.
  
  https://hal.inria.fr/hal-01412928
• 95S. Noirpoudre.
  
  Dans la famille Poppy, je voudrais… le robot Ergo Jr ! : Utiliser le robot Poppy Ergo Jr dans une salle de classe, June 2016, 3 p, Guide d'utilisation du robot : Poppy Ergo Jr est un robot open-source conçu pour être utilisé facilement en classe pour initier aux sciences du numérique, notamment à l’informatique et à la robotique. Il est utilisable sans connexion internet et installation préalable.
  
  https://hal.inria.fr/hal-01384663
• 96S. Noirpoudre, D. Roy, M. Demangeat, T. Desprez, T. Segonds, P. Rouanet, D. Caselli, N. Rabault, M. Lapeyre, P.-Y. Oudeyer.
  
  Livret pédagogique : Apprendre à programmer Poppy Ergo Jr en Snap!, June 2016, 50 p, Un livret composé d'activités pédagogiques pour apprendre les bases de la programmation (programmation séquentielles, boucles, conditions, variables etc.) et des idées de défis et de projets pour appliquer les connaissances.
  
  https://hal.inria.fr/hal-01384649
• 97P.-Y. Oudeyer.
  
  L'éveil des bébés robots, in: Interstices, March 2016.
  
  https://hal.inria.fr/hal-01350454
• 98P.-Y. Oudeyer.
  
  Des ordinateurs aux robots : les machines en informatique, January 2016, Ce texte est sous licence Creative Commons CC-BY. Il a été également publié dans l’ouvrage « 1, 2, 3 Codez » coordonné par la Fondation Main à la Pâte (http://www.fondation-lamap.org/node/34547), aux éditions Le Pommier.
  
  https://hal.inria.fr/hal-01404432
• 99D. Roy, P.-Y. Oudeyer.
  
  IniRobot et Poppy Éducation : deux kits robotiques libres pour l'enseignement de l'informatique et de la robotique, January 2016, Colloque Didapro-Didastic 6e édition, Poster.
  
  https://hal.inria.fr/hal-01263535

Other Publications

• 100P. Azagra, Y. Mollard, F. Golemo, A. C. Murillo, M. Lopes, J. C. Civera.
  
  A Multimodal Dataset for Interactive and Incremental Learning of Object Models, November 2016, working paper or preprint.
  
  https://hal.inria.fr/hal-01402493
• 101P. Azagra, Y. Mollard, F. Golemo, A. C. Murillo, M. Lopes, J. Civera.
  
  A Multimodal Human-Robot Interaction Dataset, December 2016, NIPS 2016, workshop Future of Interactive Learning Machines, Poster.
  
  https://hal.inria.fr/hal-01402479
• 102A. Delmas, C. Magnier, C. Argillier.
  
  Adaptive device for disease awareness and treatment adherence of asthma in children, October 2016, 5th Conference in Health Ergonomic and Patient Safety , Poster.
  
  https://hal.inria.fr/hal-01412960
• 103S. Forestier, Y. Mollard, D. Caselli, P.-Y. Oudeyer.
  
  Autonomous exploration, active learning and human guidance with open-source Poppy humanoid robot platform and Explauto library, December 2016, The Thirtieth Annual Conference on Neural Information Processing Systems (NIPS 2016), Poster.
  
  https://hal.inria.fr/hal-01404399
• 104O. Sigaud, C. Masson, D. Filliat, F. Stulp.
  
  Gated networks: an inventory, May 2016, Unpublished manuscript, 17 pages.
  
  https://hal.archives-ouvertes.fr/hal-01313601

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• 148P. Miller.
  
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• 149M. Mirolli, G. Baldassarre.
  
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• 150S. M. Nguyen, A. Baranes, P.-Y. Oudeyer.
  
  Bootstrapping Intrinsically Motivated Learning with Human Demonstrations, in: IEEE International Conference on Development and Learning, Frankfurt, Germany, 2011.
  
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• 151S. M. Nguyen, A. Baranes, P.-Y. Oudeyer.
  
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• 153P.-Y. Oudeyer, F. Kaplan, V. Hafner.
  
  Intrinsic Motivation Systems for Autonomous Mental Development, in: IEEE Transactions on Evolutionary Computation, 2007, vol. 11, n^o 1, pp. 265–286.
  
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• 154P.-Y. Oudeyer, F. Kaplan.
  
  Intelligent adaptive curiosity: a source of self-development, in: Proceedings of the 4th International Workshop on Epigenetic Robotics, L. Berthouze, H. Kozima, C. Prince, G. Sandini, G. Stojanov, G. Metta, C. Balkenius (editors), Lund University Cognitive Studies, 2004, vol. 117, pp. 127–130.
• 155P.-Y. Oudeyer, F. Kaplan.
  
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• 157P.-Y. Oudeyer.
  
  Developmental Learning of Sensorimotor Models for Control in Robotics, in: SIAM News, September 2014, vol. 47, n^o 7.
  
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• 158P.-Y. Oudeyer.
  
  L'auto-organisation dans l'évolution de la parole, in: Parole et Musique: Aux origines du dialogue humain, Colloque annuel du Collège de France, S. Dehaene, C. Petit (editors), Odile Jacob, 2009, pp. 83-112.
  
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