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Resource Allocation in Multi-armed Bandit Exploration: Overcoming Nonlinear Scaling with Adaptive Parallelism.

, , , , , and . CoRR, (2020)

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Untangling Dense Knots by Learning Task-Relevant Keypoints., , , , , , , , , and . CoRR, (2020)Learning Dense Visual Correspondences in Simulation to Smooth and Fold Real Fabrics., , , , , , , , , and 3 other author(s). ICRA, page 11515-11522. IEEE, (2021)Learning to Localize, Grasp, and Hand Over Unmodified Surgical Needles., , , , , , , and . ICRA, page 9637-9643. IEEE, (2022)All You Need is LUV: Unsupervised Collection of Labeled Images Using UV-Fluorescent Markings., , , , and . IROS, page 3241-3248. IEEE, (2022)Untangling Dense Non-Planar Knots by Learning Manipulation Features and Recovery Policies., , , , , , , , , and . Robotics: Science and Systems, (2021)Resource Allocation in Multi-armed Bandit Exploration: Overcoming Sublinear Scaling with Adaptive Parallelism., , , , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 10236-10246. PMLR, (2021)ABC-LMPC: Safe Sample-Based Learning MPC for Stochastic Nonlinear Dynamical Systems with Adjustable Boundary Conditions., , , , , and . CoRR, (2020)Safe Reinforcement Learning Using Learned Safe Sets. University of California, Berkeley, USA, (2022)Disentangling Dense Multi-Cable Knots., , , , , , , , , and . IROS, page 3731-3738. IEEE, (2021)Learning Rope Manipulation Policies Using Dense Object Descriptors Trained on Synthetic Depth Data., , , , , , , and . ICRA, page 9411-9418. IEEE, (2020)