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Imitation learning methods need significant human supervision to learn policies robust to changes in object poses, physical disturbances, and visual distractors.
Computational approaches to motor learning by imitation
Stefan Schaal, Auke Ijspeert, and Aude Billard · 2003
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Poisson surface reconstruction
Michael Kazhdan, Matthew Bolitho, and Hugues Hoppe · 2006
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Imitation learning for locomotion and manipulation
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Imitation learning: A survey of learning methods
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Zhenjia Xu, Jiajun Wu, Andy Zeng, Joshua B Tenenbaum, and Shuran Song · 2019
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Conservative q-learning for offline reinforcement learning
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Learning quadrupedal locomotion over challenging terrain
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Real–sim–real transfer for real-world robot control policy learning with deep reinforcement learning
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Polymetis
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