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Deep Object-Centric Representations for Generalizable Robot Learning.

, , , и . CoRR, (2017)

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Heinz Devin

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Coline Lehmann

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Adolf Devin

 

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Learning Invariant Feature Spaces to Transfer Skills with Reinforcement Learning., , , , и . ICLR (Poster), OpenReview.net, (2017)Monocular Plan View Networks for Autonomous Driving., , , , и . IROS, стр. 2876-2883. IEEE, (2019)Learning To Reach Goals Without Reinforcement Learning., , , , , , и . CoRR, (2019)Modular Networks for Compositional Instruction Following., , , , и . NAACL-HLT, стр. 1033-1040. Association for Computational Linguistics, (2021)Adapting Deep Visuomotor Representations with Weak Pairwise Constraints., , , , , , , и . WAFR, том 13 из Springer Proceedings in Advanced Robotics, стр. 688-703. Springer, (2016)Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration., , , , , , , , , и 269 other автор(ы). ICRA, стр. 6892-6903. IEEE, (2024)Deep Object-Centric Representations for Generalizable Robot Learning., , , и . CoRR, (2017)Compositionality and Modularity for Robot Learning.. University of California, Berkeley, USA, (2020)SMiRL: Surprise Minimizing RL in Dynamic Environments., , , , , и . CoRR, (2019)Deep Object Centric Policies for Autonomous Driving., , , , и . CoRR, (2018)