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Allowing Safe Contact in Robotic Goal-Reaching: Planning and Tracking in Operational and Null Spaces.

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Understanding and correcting pathologies in the training of learned optimizers., , , , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 4556-4565. PMLR, (2019)VeLO: Training Versatile Learned Optimizers by Scaling Up., , , , , , , , , and 1 other author(s). CoRR, (2022)Topology and Geometry of Half-Rectified Network Optimization., and . ICLR (Poster), OpenReview.net, (2017)Tasks, stability, architecture, and compute: Training more effective learned optimizers, and using them to train themselves., , , , and . CoRR, (2020)Allowing Safe Contact in Robotic Goal-Reaching: Planning and Tracking in Operational and Null Spaces., , , , and . CoRR, (2022)Brax - A Differentiable Physics Engine for Large Scale Rigid Body Simulation., , , , , and . NeurIPS Datasets and Benchmarks, (2021)Bi-Manual Manipulation and Attachment via Sim-to-Real Reinforcement Learning., , , and . CoRR, (2022)Practical Tradeoffs between Memory, Compute, and Performance in Learned Optimizers., , , , and . CoLLAs, volume 199 of Proceedings of Machine Learning Research, page 142-164. PMLR, (2022)Training Learned Optimizers with Randomly Initialized Learned Optimizers., , , and . CoRR, (2021)Using a thousand optimization tasks to learn hyperparameter search strategies., , , , , and . CoRR, (2020)