Results 321 to 330 of about 5,721,941 (348)

Re-Mix: Optimizing Data Mixtures for Large Scale Imitation Learning

Conference on Robot Learning
Increasingly large imitation learning datasets are being collected with the goal of training foundation models for robotics. However, despite the fact that data selection has been of utmost importance in vision and natural language processing, little ...
Joey Hejna, Chethan Bhateja, Yichen Jiang, Karl Pertsch, Dorsa Sadigh   +4 more
semanticscholar   +1 more source

Robot learning—Beyond imitation

Science Robotics, 2019
This special issue covers many aspects and applications of robot learning, including current progress, opportunities, and challenges.
openaire   +2 more sources

Learning birdsong by imitation

Science, 2019
Transforming sensory information into vocal imitation allows young finches to ...
openaire   +2 more sources

RT-Sketch: Goal-Conditioned Imitation Learning from Hand-Drawn Sketches

Conference on Robot Learning
Natural language and images are commonly used as goal representations in goal-conditioned imitation learning (IL). However, natural language can be ambiguous and images can be over-specified. In this work, we propose hand-drawn sketches as a modality for
Priya Sundaresan, Q. Vuong, Jiayuan Gu, Peng Xu, Ted Xiao, Sean Kirmani, Tianhe Yu, Michael Stark, Ajinkya Jain, Karol Hausman, Dorsa Sadigh, Jeannette Bohg, S. Schaal   +12 more
semanticscholar   +1 more source

FlowRetrieval: Flow-Guided Data Retrieval for Few-Shot Imitation Learning

Conference on Robot Learning
Few-shot imitation learning relies on only a small amount of task-specific demonstrations to efficiently adapt a policy for a given downstream tasks.
Li-Heng Lin, Yuchen Cui, Amber Xie, Tianyu Hua, Dorsa Sadigh   +4 more
semanticscholar   +1 more source

Vicarious reinforcement and imitative learning.

The Journal of Abnormal and Social Psychology, 1963
VioLit summary: OBJECTIVE: The intent of this article by Bandura et al. was to explore the effects of vicarious reinforcement on conditioned emotional responses among nursery school children with a particular focus on modeling aggression. METHODOLOGY: The authors employed an experimental design by randomly assigning 40 boys and 40 girls from the ...
A, BANDURA, D, ROSS, S A, ROSS
openaire   +2 more sources

Imitation Learning

2020
Laxmidhar Behera, Swagat Kumar, Prem Kumar Patchaikani, Ranjith Ravindranathan Nair, Samrat Dutta   +4 more
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Learning Through Imitation: an Experiment

SSRN Electronic Journal, 2022
Marina Agranov, GABRIEL LOPEZ-MOCTEZUMA, Philipp Strack, Omer Tamuz   +3 more
openaire   +1 more source

Imitation Learning: A Survey of Learning Methods, Environments and Metrics

arXiv.org
Nathan Gavenski, Odinaldo Rodrigues, Michael Luck   +2 more
semanticscholar   +1 more source

Imitation Learning

2021
openaire   +1 more source