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Sim-To-Real via Sim-To-Sim: Data-Efficient Robotic Grasping via Randomized-To-Canonical Adaptation Networks., , , , , , , , and . CVPR, page 12627-12637. Computer Vision Foundation / IEEE, (2019)An Integrative Network Approach to Map the Transcriptome to the Phenome., , , , and . RECOMB, volume 4955 of Lecture Notes in Computer Science, page 232-245. Springer, (2008)Combining planning techniques for manipulation using realtime perception., , and . ICRA, page 2895-2901. IEEE, (2010)Fast, robust quadruped locomotion over challenging terrain., , , , and . ICRA, page 2665-2670. IEEE, (2010)Sequential operator splitting for constrained nonlinear optimal control., , and . ACC, page 4864-4871. IEEE, (2017)Collective robot reinforcement learning with distributed asynchronous guided policy search., , , , and . IROS, page 79-86. IEEE, (2017)Learning motion primitive goals for robust manipulation., , , , , and . IROS, page 325-331. IEEE, (2011)Watch, Try, Learn: Meta-Learning from Demonstrations and Rewards., , , , , , , , , and . ICLR, OpenReview.net, (2020)What do we learn from a large-scale study of pre-trained visual representations in sim and real environments?, , , , , , , , , and 3 other author(s). CoRR, (2023)USA-Net: Unified Semantic and Affordance Representations for Robot Memory., , , , , and . IROS, page 1-8. (2023)