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We study a generalized setup for learning from demonstration to build an agent that can manipulate novel objects in unseen scenarios by looking at only a single video of human demonstration from a third-person perspective.
Unpaired image-to-image translation using cycle-consistent adversarial networks
J.-Y. Zhu, T. Park, P. Isola, and A. A. Efros · 1911
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ALVINN: An autonomous land vehicle in a neural network
D. A. Pomerleau · 1989
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Is imitation learning the route to humanoid robots?
S. Schaal · 1999
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Algorithms for inverse reinforcement learning
A. Y. Ng and S. J. Russell · 2000
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Apprenticeship learning via inverse reinforcement learning
P. Abbeel and A. Y. Ng · 2004
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A survey of robot learning from demonstration
B. D. Argall, S. Chernova, M. Veloso, and B. Browning · 2009
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Trajectories and keyframes for kinesthetic teaching: A human-robot interaction perspective
B. Akgun, M. Cakmak, J. W. Yoo, and A. L. Thomaz · 2012
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Learning to select and generalize striking movements in robot table tennis
K. Mülling, J. Kober, O. Kroemer, and J. Peters · 2013
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Generative adversarial nets
I. Goodfellow, J. Pouget-Abadie, M. Mirza, B. Xu, D. Warde-Farley, S. Ozair, A. Courville, and Y. Bengio · 2014
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Conditional generative adversarial nets
M. Mirza and S. Osindero · 2014
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Deep domain confusion: Maximizing for domain invariance
E. Tzeng, J. Hoffman, N. Zhang, K. Saenko, and T. Darrell · 2014
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Adam: A method for stochastic optimization
D. Kingma and J. Ba · 2015
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U-net: Convolutional networks for biomedical image segmentation
O. Ronneberger, P. Fischer, and T. Brox · 2015
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Embed to control: A locally linear latent dynamics model for control from raw images
M. Watter, J. T. Springenberg, J. Boedecker, and M. A. Riedmiller · 2015
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Deep visual foresight for planning robot motion
C. Finn and S. Levine · 2016
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Image-to-image translation with conditional adversarial networks
P. Isola, J.-Y. Zhu, T. Zhou, and A. A. Efros · 2017
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First-person activity forecasting with online inverse reinforcement learning
N. Rhinehart and K. M. Kitani · 2017
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Unsupervised perceptual rewards for imitation learning
P. Sermanet, K. Xu, and S. Levine · 2017
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Deep imitation learning for complex manipulation tasks from virtual reality teleoperation
T. Zhang, Z. McCarthy, O. Jow, D. Lee, K. Goldberg, and P. Abbeel · 2017
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Learning dexterous in-hand manipulation
OpenAI · 2018
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Learning dense correspondence via 3d-guided cycle consistency
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Self-supervised visual planning with temporal skip connections
F. Ebert, C. Finn, A. X. Lee, and S. Levine
Cited in the paper.
Self-supervised visual planning with temporal skip connections
F. Ebert, C. Finn, A. X. Lee, and S. Levine
Cited in the paper.
D. Pathak, P. Mahmoudieh, G. Luo, P. Agrawal, D. Chen, Y. Shentu, E. Shelhamer, J. Malik, A. A. Efros, and T. Darrell · 2018
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Time-contrastive networks: Self-supervised learning from video
P. Sermanet, C. Lynch, Y. Chebotar, J. Hsu, E. Jang, S. Schaal, and S. Levine · 2018
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Multiple interactions made easy (MIME): large scale demonstrations data for imitation
P. Sharma, L. Mohan, L. Pinto, and A. Gupta · 2018
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One-shot imitation from observing humans via domain-adaptive meta-learning
T. Yu, C. Finn, A. Xie, S. Dasari, T. Zhang, P. Abbeel, and S. Levine · 2018
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