Guest Editorial Active Learning and Intrinsically Motivated Exploration in Robots: Advances and Challenges
By Manuel Lopes, Pierre-Yves Oudeyer. 2010
39 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Control and Systems Engineering
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
- Sao Mai Nguyen
- Pierre-Yves Oudeyer
- Linda B. Smith
- Adrien Baranes
- Manuel Lopes
- Olivier Sigaud
- Cédric Colas
- Clément Moulin-Frier
In Control and Systems Engineering
- Sao Mai Nguyen
- Pierre-Yves Oudeyer
- Linda B. Smith
- Adrien Baranes
- Manuel Lopes
- Olivier Sigaud
- Clément Moulin-Frier
Citations in the corpus
- How Evolution May Work Through Curiosity-Driven Developmental Process (2016, background): “…learning perspective, mechanisms of information seeking are called active learning , where the learner probabilistically and through its own activity selects experiences according to their potential for reducing uncertainty (Cohn et al., 1996; Lopes and Oudeyer, 2010; Lopes and Montesano, 2014).”
- Socially guided intrinsic motivation for robot learning of motor skills (2013, methodology): “This is why methods of active exploration and learning have recently been developed in the fields of developmental robotics and robot learning (Lopes and Oudeyer 2010), reusing some of the concepts elaborated in the statistical active learning framework (Fedorov 1972; Cohn et al. 1996; Roy and…”