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Various approaches have been proposed to learn visuo-motor policies for real-world robotic applications.
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Cited alongside, same era.
In: Workshop on the Algorithmic Foundations of Robotics (WAFR)
Tzeng E, Devin C, Hoffman J, Finn C, Abbeel P, Levine S, Saenko K and Darrell T (2016) Adapting deep visuomotor representations with weak pairwise constraints · 2016
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Levine S, Finn C, Darrell T and Abbeel P (2016a) End-to-end training of deep visuomotor policies
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In: Levine S, Vanhoucke V and Goldberg K (eds.) Proceedings of the 1st Annual Conference on Robot Learning (CoRL) , Proceedings of Machine Learning Research , volume 78. PMLR, pp. 291–300
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Wulfmeier M, Bewley A and Posner I (2018) Incremental adversarial domain adaptation for continually changing environments · 2018
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