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We present a visual imitation learning framework that enables learning of robot action policies solely based on expert samples without any robot trials.
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Guided cost learning: Deep inverse optimal control via policy optimization
C. Finn, S. Levine, and P. Abbeel · 2016
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A machine learning approach to visual perception of forest trails for mobile robots
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End to end learning for self-driving cars
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J. Ho, J. K. Gupta, and S. Ermon · 2016
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Stochastic video generation with a learned prior
E. Denton and R. Fergus · 2018
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Stochastic variational video prediction
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Behavioral cloning from observation
F. Torabi, G. Warnell, and P. Stone · 2018
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Zero-shot visual imitation
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Y. Liu, A. Gupta, P. Abbeel, and S. Levine · 2018
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