Results 21 to 30 of about 11,612 (263)

Imitation of Peers in Children and Adults

Games, 2018
Imitation of the successful choices of others is a simple and superficially attractive learning rule. It has been shown to be an important driving force for the strategic behavior of (young) adults. In this study we examine whether imitation is prevalent
Jose Apesteguia, Steffen Huck, Jörg Oechssler, Elke Weidenholzer, Simon Weidenholzer   +4 more
doaj   +1 more source

Motion Generation Using Bilateral Control-Based Imitation Learning With Autoregressive Learning

IEEE Access, 2021
Imitation learning has been studied as an efficient and high-performance method to generate robot motion. Specifically, bilateral control-based imitation learning has been proposed as a method of realizing fast motion.
Ayumu Sasagawa, Sho Sakaino, Toshiaki Tsuji   +2 more
doaj   +1 more source

Deep Reinforcement Learning Task Assignment Based on Domain Knowledge

IEEE Access, 2022
Deep Reinforcement Learning (DRL) methods are inefficient in the initial strategy exploration process due to the huge state space and action space in large-scale complex scenarios.
Jiayi Liu, Gang Wang, Xiangke Guo, Siyuan Wang, Qiang Fu   +4 more
doaj   +1 more source

Prefrontal involvement in imitation learning of hand actions : effects of practice and expertise. [PDF]

, 2007
In this event-related fMRI study, we demonstrate the effects of a single session of practising configural hand actions (guitar chords) on cortical activations during observation, motor preparation, and imitative execution.
Canessa, N., Eickhoff, Simon B., Vogt, S., Freund, H. J., Buccino, Giovanni, Wohlschläger, A. M., Rizzolatti, G., Canessa, Nicola, Zilles, K., Rizzolatti, Giacomo, Eickhoff, S. B., Freund, Hans-Joachim, Buccino, G., Shah, J. N., Wohlschläger, Afra M., Shah, N. Jon, Fink, Gereon R., Fink, G. R., Zilles, Karl, Vogt, Stefan   +19 more
core   +1 more source

Back to Reality for Imitation Learning

CoRR, 2021
Published at CoRL 2021, blue sky oral ...
openaire   +4 more sources

Imitation by Combination: Preschool Age Children Evidence Summative Imitation in a Novel Problem-Solving Task

Frontiers in Psychology, 2015
Children are exceptional, even ‘super’ imitators, but comparatively poor independent problem-solvers or innovators. However, human cultural evolution depends on both imitation and innovation.
Francys eSubiaul, Edward eKrajkowski, Elizabeth ePrice, Alexander eEtz   +3 more
doaj   +1 more source

Neural Marker of Habituation at 5 Months of Age Associated with Deferred Imitation Performance at 12 Months: A Longitudinal Study in the UK and The Gambia

Children, 2022
Across cultures, imitation provides a crucial route to learning during infancy. However, neural predictors which would enable early identification of infants at risk of suboptimal developmental outcomes are still rare.
Laura Katus, Bosiljka Milosavljevic, Maria Rozhko, Samantha McCann, Luke Mason, Ebrima Mbye, Ebou Touray, Sophie E. Moore, Clare E. Elwell, Sarah Lloyd-Fox, Michelle de Haan, The BRIGHT Study Team   +11 more
doaj   +1 more source

Imitation learning and co-presence learning influence the acquisition of word formation rules: A fNIRS hyperscanning study

NeuroImage
Imitation learning and co-presence learning are common forms of social learning. However, the effects of these two types of learning on acquiring word formation rules have gone relatively underexplored, particularly in the context of adult social ...
Yujing Shen, Xiyuan Wang, John W. Schwieter, Huanhuan Liu   +3 more
doaj   +1 more source

Dossier Imitation - Introduction générale

Revue de Primatologie, 2009
This special issue is interested in the ontogeny and the phylogeny of imitation. We have invited experts in developmental psychology and in primatology to discuss the definition of imitation in Human, its existence in non human primate species and to ...
Odile Petit, Olivier Pascalis
doaj   +1 more source

Divide & Conquer Imitation Learning

2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022
When cast into the Deep Reinforcement Learning framework, many robotics tasks require solving a long horizon and sparse reward problem, where learning algorithms struggle. In such context, Imitation Learning (IL) can be a powerful approach to bootstrap the learning process.
Chenu, Alexandre, Perrin-Gilbert, Nicolas, Sigaud, Olivier   +2 more
openaire   +3 more sources