H. Ali, F. Shafait, E. Giannakidou, A. Vakali, and N. Figueroa, Contextual object category recognition for RGB-D scene labeling, Robotics and Autonomous Systems, vol.62, issue.2, pp.241-256, 2014.
DOI : 10.1016/j.robot.2013.10.001

A. Baranès and P. Oudeyer, R-iac: Robust intrinsically motivated exploration and active learning. Autonomous Mental Development, IEEE Transactions on, vol.1, issue.3, pp.155-169, 2009.

A. Boduroglu, P. Shah, E. Richard, and . Nisbett, Cultural Differences in Allocation of Attention in Visual Information Processing, Journal of Cross-Cultural Psychology, vol.40, issue.3, pp.349-360, 2009.
DOI : 10.1177/0022022108331005

I. Ronen, M. Brafman, and . Tennenholtz, R-max-a general polynomial time algorithm for near-optimal reinforcement learning, The Journal of Machine Learning Research, vol.3, pp.213-231, 2003.

L. Caron, D. Filliat, and A. Gepperth, Neural Network Fusion of Color, Depth and Location for Object Instance Recognition on a Mobile Robot, Computer Vision-ECCV 2014 Workshops, pp.791-805, 2014.
DOI : 10.1007/978-3-319-16199-0_55
URL : https://hal.archives-ouvertes.fr/hal-01087392

N. Chentanez, G. Andrew, . Barto, P. Satinder, and . Singh, Intrinsically motivated reinforcement learning, Advances in neural information processing systems, pp.1281-1288, 2004.

C. Craye, D. Filliat, and J. Goudou, Exploration strategies for incremental learning of object-based visual saliency, 2015 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob), 2015.
DOI : 10.1109/DEVLRN.2015.7346099
URL : https://hal.archives-ouvertes.fr/hal-01170532

C. Craye, D. Filliat, and J. Goudou, Environment exploration for object-based visual saliency learning, 2016 IEEE International Conference on Robotics and Automation (ICRA), pp.3140-3148, 2016.
DOI : 10.1109/ICRA.2016.7487379
URL : https://hal.archives-ouvertes.fr/hal-01289159

J. Engel, T. Schöps, and D. Cremers, Lsd-slam: Largescale direct monocular slam, European Conference on Computer Vision, pp.834-849, 2014.

S. Frintrop, VOCUS: A visual attention system for object detection and goal-directed search, 2006.
DOI : 10.1007/11682110

M. Harter and L. Anllo-vento, Visual-spatial attention: preparation and selection in children and adults, Electroencephalography and clinical neurophysiology. Supplement, vol.42, pp.183-194, 1990.

X. Huang and J. Weng, Novelty and reinforcement learning in the value system of developmental robots, 2002.

L. Itti, C. Koch, and E. Niebur, A model of saliency-based visual attention for rapid scene analysis, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.20, issue.11, pp.1254-1259, 1998.
DOI : 10.1109/34.730558

V. Kompella, M. Luciw, M. Stollenga, L. Pape, and J. Schmidhuber, Autonomous learning of abstractions using curiositydriven modular incremental slow feature analysis, Development and Learning and Epigenetic Robotics (ICDL), 2012 IEEE International Conference on, pp.1-8, 2012.

K. Lai, L. Bo, X. Ren, and D. Fox, A large-scale hierarchical multi-view RGB-D object dataset, 2011 IEEE International Conference on Robotics and Automation, pp.1817-1824, 2011.
DOI : 10.1109/ICRA.2011.5980382

M. Lopes, T. Lang, M. Toussaint, and P. Oudeyer, Exploration in model-based reinforcement learning by empirically estimating learning progress, Advances in Neural Information Processing Systems, pp.206-214, 2012.
URL : https://hal.archives-ouvertes.fr/hal-00755248

M. Lopes and P. Oudeyer, The strategic student approach for life-long exploration and learning, 2012 IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL), pp.1-8, 2012.
DOI : 10.1109/DevLrn.2012.6400807
URL : https://hal.archives-ouvertes.fr/hal-00755216

D. Meger, K. Per-erik-forssén, S. Lai, S. Helmer, T. Mccann et al., Curious George: An attentive semantic robot, Robotics and Autonomous Systems, vol.56, issue.6, pp.503-511, 2008.
DOI : 10.1016/j.robot.2008.03.008

S. Sao-mai-nguyen, N. Ivaldi, A. Lyubova, D. Droniou, D. Gerardeaux-viret et al., Learning to recognize objects through curiosity-driven manipulation with the icub humanoid robot, Development and Learning and Epigenetic Robotics (ICDL), 2013 IEEE Third Joint International Conference on, pp.1-8, 2013.

P. Oudeyer, F. Kaplan, and V. V. Hafner, Intrinsic Motivation Systems for Autonomous Mental Development, IEEE Transactions on Evolutionary Computation, vol.11, issue.2, pp.265-286, 2007.
DOI : 10.1109/TEVC.2006.890271

J. Schmidhuber, Formal theory of creativity, fun, and intrinsic motivation Autonomous Mental Development, IEEE Transactions on, vol.2, issue.3, pp.230-247, 1990.

J. Christopher, P. Watkins, and . Dayan, Q-learning, Machine learning, vol.8, issue.3-4, pp.279-292, 1992.

J. Zhang and S. Sclaroff, Saliency Detection: A Boolean Map Approach, 2013 IEEE International Conference on Computer Vision, pp.153-160, 2013.
DOI : 10.1109/ICCV.2013.26