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[1] D. Berlyne. Curiosity and exploration. , 1966, Science.
[2] W. Cleveland,et al. Locally Weighted Regression: An Approach to Regression Analysis by Local Fitting , 1988 .
[3] Richard S. Sutton,et al. Integrated Architectures for Learning, Planning, and Reacting Based on Approximating Dynamic Programming , 1990, ML.
[4] Jürgen Schmidhuber,et al. A possibility for implementing curiosity and boredom in model-building neural controllers , 1991 .
[5] Leslie Pack Kaelbling,et al. Learning to Achieve Goals , 1993, IJCAI.
[6] D. Lewkowicz,et al. A dynamic systems approach to the development of cognition and action. , 2007, Journal of cognitive neuroscience.
[7] A. Gopnik,et al. The scientist in the crib : minds, brains, and how children learn , 1999 .
[8] Pierre-Yves Oudeyer,et al. Maximizing Learning Progress: An Internal Reward System for Development , 2003, Embodied Artificial Intelligence.
[9] Terrence J. Sejnowski,et al. Exploration Bonuses and Dual Control , 1996, Machine Learning.
[10] Nikolaus Hansen,et al. The CMA Evolution Strategy: A Comparing Review , 2006, Towards a New Evolutionary Computation.
[11] Pierre-Yves Oudeyer,et al. Intrinsic Motivation Systems for Autonomous Mental Development , 2007, IEEE Transactions on Evolutionary Computation.
[12] Pierre-Yves Oudeyer,et al. What is Intrinsic Motivation? A Typology of Computational Approaches , 2007, Frontiers Neurorobotics.
[13] Jason Weston,et al. Curriculum learning , 2009, ICML '09.
[14] Pierre-Yves Oudeyer,et al. Intrinsically motivated goal exploration for active motor learning in robots: A case study , 2010, 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[15] Jochen J. Steil,et al. Goal Babbling Permits Direct Learning of Inverse Kinematics , 2010, IEEE Transactions on Autonomous Mental Development.
[16] Kenneth O. Stanley,et al. Abandoning Objectives: Evolution Through the Search for Novelty Alone , 2011, Evolutionary Computation.
[17] Kenneth O. Stanley,et al. Evolving a diversity of virtual creatures through novelty search and local competition , 2011, GECCO '11.
[18] Faustino J. Gomez,et al. When Novelty Is Not Enough , 2011, EvoApplications.
[19] Pierre-Yves Oudeyer,et al. The strategic student approach for life-long exploration and learning , 2012, 2012 IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL).
[20] Jürgen Schmidhuber,et al. First Experiments with PowerPlay , 2012, Neural networks : the official journal of the International Neural Network Society.
[21] Pierre-Yves Oudeyer,et al. Active learning of inverse models with intrinsically motivated goal exploration in robots , 2013, Robotics Auton. Syst..
[22] Marco Mirolli,et al. Intrinsically Motivated Learning in Natural and Artificial Systems , 2013 .
[23] Jun Nakanishi,et al. Dynamical Movement Primitives: Learning Attractor Models for Motor Behaviors , 2013, Neural Computation.
[24] Andrew G. Barto,et al. Intrinsic Motivation and Reinforcement Learning , 2013, Intrinsically Motivated Learning in Natural and Artificial Systems.
[25] Wojciech Zaremba,et al. Learning to Execute , 2014, ArXiv.
[26] Pierre-Yves Oudeyer,et al. Poppy Project: Open-Source Fabrication of 3D Printed Humanoid Robot for Science, Education and Art , 2014 .
[27] Pierre-Yves Oudeyer,et al. Self-organization of early vocal development in infants and machines: the role of intrinsic motivation , 2014, Front. Psychol..
[28] Antoine Cully,et al. Robots that can adapt like animals , 2014, Nature.
[29] Jean-Baptiste Mouret,et al. Illuminating search spaces by mapping elites , 2015, ArXiv.
[30] Tom Schaul,et al. Universal Value Function Approximators , 2015, ICML.
[31] Jian Sun,et al. Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[32] Jochen J. Steil,et al. Incremental bootstrapping of parameterized motor skills , 2016, 2016 IEEE-RAS 16th International Conference on Humanoid Robots (Humanoids).
[33] Filip De Turck,et al. VIME: Variational Information Maximizing Exploration , 2016, NIPS.
[34] Tom Schaul,et al. Unifying Count-Based Exploration and Intrinsic Motivation , 2016, NIPS.
[35] Pierre-Yves Oudeyer,et al. Overlapping waves in tool use development: A curiosity-driven computational model , 2016, 2016 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob).
[36] James L. McClelland,et al. What Learning Systems do Intelligent Agents Need? Complementary Learning Systems Theory Updated , 2016, Trends in Cognitive Sciences.
[37] Pierre-Yves Oudeyer,et al. Curiosity-Driven Development of Tool Use Precursors: a Computational Model , 2016, CogSci.
[38] Pierre-Yves Oudeyer,et al. Intrinsic motivation, curiosity, and learning: Theory and applications in educational technologies. , 2016, Progress in brain research.
[39] Joshua B. Tenenbaum,et al. Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation , 2016, NIPS.
[40] Pierre-Yves Oudeyer,et al. Modular active curiosity-driven discovery of tool use , 2016, 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[41] Alexei A. Efros,et al. Curiosity-Driven Exploration by Self-Supervised Prediction , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[42] Pierre-Yves Oudeyer,et al. A Unified Model of Speech and Tool Use Early Development , 2017, CogSci.
[43] Alex Graves,et al. Automated Curriculum Learning for Neural Networks , 2017, ICML.
[44] Vladlen Koltun,et al. Learning to Act by Predicting the Future , 2016, ICLR.
[45] Ai Poh Loh,et al. Model-based contextual policy search for data-efficient generalization of robot skills , 2017, Artif. Intell..
[46] Daan Wierstra,et al. Variational Intrinsic Control , 2016, ICLR.
[47] Tom Schaul,et al. Reinforcement Learning with Unsupervised Auxiliary Tasks , 2016, ICLR.
[48] Yiannis Demiris,et al. Quality and Diversity Optimization: A Unifying Modular Framework , 2017, IEEE Transactions on Evolutionary Computation.
[49] Pierre-Yves Oudeyer,et al. GEP-PG: Decoupling Exploration and Exploitation in Deep Reinforcement Learning Algorithms , 2017, ICML.
[50] Pierre-Yves Oudeyer,et al. Unsupervised Learning of Goal Spaces for Intrinsically Motivated Goal Exploration , 2018, ICLR.
[51] Sergey Levine,et al. Visual Reinforcement Learning with Imagined Goals , 2018, NeurIPS.
[52] Pierre-Yves Oudeyer,et al. Curiosity Driven Exploration of Learned Disentangled Goal Spaces , 2018, CoRL.
[53] Martin A. Riedmiller,et al. Learning by Playing - Solving Sparse Reward Tasks from Scratch , 2018, ICML.
[54] Pierre-Yves Oudeyer,et al. CURIOUS: Intrinsically Motivated Multi-Task, Multi-Goal Reinforcement Learning , 2018, ICML 2019.