Explicit-to-Implicit Robot Imitation Learning by Exploring Visual Content Change
Author:
Affiliation:
1. School of Control Science and Engineering, Shandong University, Jinan, China
2. Department of Automation, Shanghai Jiao Tong University, Shanghai, China
Funder
National Natural Science Foundation of China
National Key Research and Development Plan of China
Natural Science Foundation of Shandong Province for Distinguished Young Scholars
Project for Self-Developed Innovation Team of Jinan City
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Science Applications,Control and Systems Engineering
Link
http://xplorestaging.ieee.org/ielx7/3516/9985401/09772011.pdf?arnumber=9772011
Reference45 articles.
1. Imitation from Observation: Learning to Imitate Behaviors from Raw Video via Context Translation
2. Deep Residual Learning for Image Recognition
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4. Long Short-Term Memory
5. SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
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