Fetching the paper…
Reading the bibliography…
What are the functions of curiosity? What are the mechanisms of curiosity-driven learning? We approach these questions about the living using concepts and tools from machine learning and developmental robotics.
Exploration–exploitation tradeoff using variance estimates in multi-armed bandits
Audibert, J. Y., Munos, R., and Szepesvári, C. (2009) · 1902
Earlier work this paper cites.
Learning and satiation of response in intrinsically motivated complex puzzle performances by monkeys
Harlow, H. (1950) · 1950
Earlier work this paper cites.
Conflict, Arousal and Curiosity
Berlyne, D. (1960) · 1960
Earlier work this paper cites.
Intrinsic motivation and its role in psychological development
Hunt, J. (1965) · 1965
Earlier work this paper cites.
Motives and development
Kagan, J. (1972) · 1972
Earlier work this paper cites.
Play: Its role in development and evolution
Bruner, J. S., Jolly, A., and Sylva, K. (1976) · 1976
Earlier work this paper cites.
A teachable machine in the real world
Andreae, P. M. and Andreae, J. H. (1978) · 1978
Earlier work this paper cites.
Integrated architectures for learning, planning, and reacting based on approximating dynamic programming
Sutton, R. (1990) · 1990
Earlier work this paper cites.
Flow-the Psychology of Optimal Experience
Csikszenthmihalyi, M. (1991) · 1991
Earlier work this paper cites.
Curious model-building control systems
Schmidhuber, J. (1991) · 1991
Earlier work this paper cites.
Exploration bonuses and dual control
Dayan, P. and Sejnowski, T. J. (1996) · 1996
Earlier work this paper cites.
Reasoning the fast and frugal way: models of bounded rationality
Gigerenzer, G. and Goldstein, G. (1996) · 1996
Earlier work this paper cites.
The emergence of the speech capacity
Oller, D. (2000) · 2000
Earlier work this paper cites.
Motivational principles for visual know-how development
Kaplan, F. and Oudeyer, P.-Y. (2003) · 2003
Earlier work this paper cites.
Intrinsically motivated learning of hierarchical collections of skills
Barto, A. G., Singh, S., and Chentanez, N. (2004) · 2004
Earlier work this paper cites.
Discovering communication
Oudeyer, P.-Y. and Kaplan, F. (2006) · 2006
Earlier work this paper cites.
What is intrinsic motivation? a typology of computational approaches
Oudeyer, P. and Kaplan, F. (2007) · 2007
Earlier work this paper cites.
Intrinsic motivation systems for autonomous mental development
Oudeyer, P.-Y., Kaplan, F., and Hafner, V. (2007) · 2007
Earlier work this paper cites.
The dynamic lift of developmental process
Smith, L. and Breazeal, C. (2007) · 2007
Earlier work this paper cites.
Exploiting open-endedness to solve problems through the search for novelty
Lehman, J. and Stanley, K. O. (2008) · 2008
Earlier work this paper cites.
Experiments in socially guided exploration: Lessons learned in building robots that learn with and without human teachers
Thomaz, A. L. and Breazeal, C. (2008) · 2008
Earlier work this paper cites.
R-iac: Robust intrinsically motivated exploration and active learning
Baranès, A. and Oudeyer, P.-Y. (2009) · 2009
Earlier work this paper cites.
Intrinsically motivated reinforcement learning: An evolutionary perspective
Singh, S., Lewis, R. L., Barto, A. G., and Sorg, J. (2010) · 2010
Cited alongside, same era.
Infants avoid ‘labouring in vain’ by attending more to learnable than unlearnable linguistic patterns
Gerken, L., Balcomb, F. K., and Minton, J. L. (2011) · 2011
Cited alongside, same era.
Scientific thinking in young children: Theoretical advances, empirical research, and policy implications
Gopnik, A. (2012) · 2012
Cited alongside, same era.
The goldilocks effect: Human infants allocate attention to visual sequences that are neither too simple nor too complex
Kidd, C., Piantadosi, S., and Aslin, R. (2012) · 2012
Cited alongside, same era.
Encouraging behavioral diversity in evolutionary robotics: An empirical study
Mouret, J. B. and Doncieux, S. (2012) · 2012
Cited alongside, same era.
Behavioral diversity generation in autonomous exploration through reuse of past experience
Benureau, F. C. and Oudeyer, P.-Y. (2016) · 2016
Later among the works it cites.
The under-appreciated drive for sense-making
Chater, N. and Loewenstein, G. (2016) · 2016
Later among the works it cites.
Modular active curiosity-driven discovery of tool use
Forestier, S. and Oudeyer, P.-Y. (2016b) · 2016
Later among the works it cites.
Reinforcement learning with unsupervised auxiliary tasks
Jaderberg, M., Mnih, V., Czarnecki, W. M., Schaul, T., Leibo, J. Z., Silver, D., and Kavukcuoglu, K. (2016) · 2016
Later among the works it cites.
Hierarchical deep reinforce- ment learning: Integrating temporal abstraction and intrinsic motivation
Kulkarni, T., Narasimhan, K., Saeedi, A., , and Tenenbaum, J. (2016) · 2016
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Intrinsically Motivated Learning in Natural and Artificial Systems
Baldassarre, G. and M., M. (2013) · 2013
Cited alongside, same era.
Active learning of inverse models with intrinsically motivated goal exploration in robots
Baranes, A. and Oudeyer, P.-Y. (2013) · 2013
Cited alongside, same era.
Intrinsic motivation and reinforcement learning
Barto, A. (2013) · 2013
Cited alongside, same era.
Information-seeking, curiosity, and attention: computational and neural mechanisms
Gottlieb, J., Oudeyer, P.-Y., Lopes, M., and Baranes, A. (2013) · 2013
Cited alongside, same era.
Learning and exploration in action-perception loops
Little, D. Y. and Sommer, F. T. (2013) · 2013
Cited alongside, same era.
Information driven self-organization of complex robotic behaviors
Martius, G., Der, R., and Ay, N. (2013) · 2013
Cited alongside, same era.
Intrinsically motivated learning of real-world sensorimotor skills with developmental constraints
Oudeyer, P.-Y., Baranes, A., and Kaplan, F. (2013) · 2013
Cited alongside, same era.
How evolution can work through curiosity-driven developmental process
Oudeyer, P.-Y. and Smith, L. (2016) · 2016
Later among the works it cites.
Hindsight experience replay
Andrychowicz, M., Crow, D., Ray, A., Schneider, J., Fong, R., Welinder, P., McGrew, B., Tobin, J., Abbeel, P., and Zaremba, W. (2017) · 2017
Later among the works it cites.
The free energy principle for action and perception: A mathematical review
Buckley, C., Kim, C., McGregor, S., and Seth, A. (2017) · 2017
Later among the works it cites.
The intentional unintentional agent: Learning to solve many continuous control tasks simultaneously
Cabi, S., Colmenarejo, S. G., Hoffman, M. W., Denil, M., Wang, Z., and De Freitas, N. (2017) · 2017
Later among the works it cites.
Reverse curriculum generation for reinforcement learning
Florensa, C., Held, D., Wulfmeier, M., Zhang, M., and Abbeel, P. (2017) · 2017
Later among the works it cites.
Intrinsically motivated goal exploration processes with automatic curriculum learning
Forestier, S., Mollard, Y., and Oudeyer, P.-Y. (2017) · 2017
Later among the works it cites.
A unified model of speech and tool use early development
Forestier, S. and Oudeyer, P.-Y. (2017) · 2017
Later among the works it cites.
A laplacian framework for option discovery in reinforcement learning
Machado, M. C., Bellemare, M. G., and Bowling, M. (2017) · 2017
Later among the works it cites.
Count-based exploration with neural density models
Ostrovski, G., Bellemare, M. G., Oord, A. V. D., and Munos, R. (2017) · 2017
Later among the works it cites.
Curiosity-driven exploration by self-supervised prediction
Pathak, D., Agrawal, P., Efros, A. A., and Darrell, T. (2017) · 2017
Later among the works it cites.
Proximal policy optimization algorithms
Schulman, J., Wolski, F., Dhariwal, P., Radford, A., and Klimov, O. (2017) · 2017
Later among the works it cites.
Curiosity-based learning in infants: A neurocomputational approach
Twomey, K. and Westermann, G. (2017) · 2017
Later among the works it cites.
Joint learning of binocularly driven saccades and vergence by active efficient coding
Zhu, Q., Triesch, J., and Shi, B. (2017) · 2017
Later among the works it cites.
Gep-pg: Decoupling exploration and exploitation in deep reinforcement learning algorithms
Colas, C., Sigaud, O., and Oudeyer, P.-Y. (2018) · 2018
Closest in time.
Unsupervised learning of goal spaces for intrinsically motivated goal exploration
Péré, A., Forestier, S., Sigaud, O., and Oudeyer, P.-Y. (2018) · 2018
Closest in time.
Policy search in continuous action domains: an overview
Sigaud, O. and Stulp, F. (2018) · 2018
Closest in time.
Reinforcement learning: An introduction
Sutton, R. S. and Barto, A. G. (2018) · 2018
Closest in time.