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Do Differentiable Simulators Give Better Policy Gradients?

, , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 20668-20696. PMLR, (2022)

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Learning Without Mixing: Towards A Sharp Analysis of Linear System Identification., , , , and . COLT, volume 75 of Proceedings of Machine Learning Research, page 439-473. PMLR, (2018)Gradient Descent Converges to Minimizers., , , and . CoRR, (2016)The Implicit Fairness Criterion of Unconstrained Learning., , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 4051-4060. PMLR, (2019)Delayed Impact of Fair Machine Learning., , , , and . IJCAI, page 6196-6200. ijcai.org, (2019)Learning the Linear Quadratic Regulator from Nonlinear Observations., , , , , , , and . NeurIPS, (2020)Constrained Bimanual Planning with Analytic Inverse Kinematics., , , and . ICRA, page 6935-6942. IEEE, (2024)Butterfly Effects of SGD Noise: Error Amplification in Behavior Cloning and Autoregression., , , , and . ICLR, OpenReview.net, (2024)On the Stability of Nonlinear Receding Horizon Control: A Geometric Perspective., , , and . CDC, page 742-749. IEEE, (2021)Best-of-K-bandits., , and . COLT, volume 49 of JMLR Workshop and Conference Proceedings, page 1440-1489. JMLR.org, (2016)Towards a Dimension-Free Understanding of Adaptive Linear Control., , , and . COLT, volume 134 of Proceedings of Machine Learning Research, page 3681-3770. PMLR, (2021)