Results 11 to 20 of about 257,916 (275)
Multimodal imitative learning and synchrony in cetaceans: A model for speech and singing evolution
Multimodal imitation of actions, gestures and vocal production is a hallmark of the evolution of human communication, as both, vocal learning and visual-gestural imitation, were crucial factors that facilitated the evolution of speech and singing ...
José Zamorano-Abramson +6 more
doaj +1 more source
An Automated Driving Strategy Generating Method Based on WGAIL–DDPG
Reliability, efficiency and generalization are basic evaluation criteria for a vehicle automated driving system. This paper proposes an automated driving decision-making method based on the Wasserstein generative adversarial imitation learning–deep ...
Zhang Mingheng +5 more
doaj +1 more source
IMITATION STRATEGIES FOR SME’S LEARNING PROCESS TOWARDS INNOVATION STRATEGIES
Imitation is actually a part of innovation strategy, the learning strategies to enter the market. It can be a stepping stone for SME”s in developing countries to innovate and to create a knowledge base to lower the innovation cost.
Rina Sulistiyani +3 more
doaj +1 more source
While there is no doubt that social signals affect human reinforcement learning, there is still no consensus about how this process is computationally implemented.
Anis Najar +3 more
doaj +1 more source
Imitation of Peers in Children and Adults
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 +4 more
doaj +1 more source
Motion Generation Using Bilateral Control-Based Imitation Learning With Autoregressive Learning
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 +2 more
doaj +1 more source
Deep Reinforcement Learning Task Assignment Based on Domain Knowledge
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 +4 more
doaj +1 more source
Re-examination of Oostenbroek et al. (2016): evidence for neonatal imitation of tongue protrusion [PDF]
The meaning, mechanism, and function of imitation in early infancy have been actively discussed since Meltzoff and Moore's (1977) report of facial and manual imitation by human neonates. Oostenbroek et al. (2016) claim to challenge the existence of early
Anisfeld +34 more
core +5 more sources
Rage Against the Machines: How Subjects Learn to Play Against Computers [PDF]
We use an experiment to explore how subjects learn to play against computers which are programmed to follow one of a number of standard learning algorithms.
Dürsch, Peter +3 more
core +6 more sources
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 +3 more
doaj +1 more source

