Maximizing Fun by Creating Data with Easily Reducible Subjective Complexity
By J. Urgen Schmidhuber. 2013
16 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computational Theory and Mathematics
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Pierre-Yves Oudeyer
- Manuel Lopes
- Adrien Baranes
- Frederic Kaplan
- Jacqueline Gottlieb
- Sao Mai Nguyen
- Olivier Sigaud
- Cédric Colas
In Computational Theory and Mathematics
Citations in the corpus
- Information seeking, curiosity and attention: computational and neural mechanisms (2013, positive): “An alternative mechanism for targeted learning has been proposed in the field of developmental robotics, which eschews this difficulty by tracking an agent’s local learning progress without setting an absolute goal (Oudeyer, Kaplan et al. 2007; Oudeyer, Baranes et al. 2013; Schmidhuber 2013) (follow”
- Intrinsically Motivated Learning of Real-World Sensorimotor Skills with Developmental Constraints (2013, background): “Within the large diversity of associated mechanisms, as we will illustrate in this chapter, intrinsic motivation, a peculiar example of internal mechanism for guiding exploration, has drawn a lot of attention in the recent years, especially when related to the issue of open-ended cumulative learning”