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Model-based imitation learning by probabilistic trajectory matching., , , and . ICRA, page 1922-1927. IEEE, (2013)Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control, and . (2017)cite arxiv:1706.06491Comment: Accepted at AISTATS 2018,.Finite-Horizon Optimal State-Feedback Control of Nonlinear Stochastic Systems Based on a Minimum Principle., , , , and . MFI, page 371-376. IEEE, (2006)Queer In AI: A Case Study in Community-Led Participatory AI., , , , , , , , , and 39 other author(s). CoRR, (2023)Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control., and . AISTATS, volume 84 of Proceedings of Machine Learning Research, page 1701-1710. PMLR, (2018)Deep Reinforcement Learning: A Brief Survey., , , and . IEEE Signal Process. Mag., 34 (6): 26-38 (2017)State-Space Inference and Learning with Gaussian Processes., , and . AISTATS, volume 9 of JMLR Proceedings, page 868-875. JMLR.org, (2010)A general perspective on Gaussian filtering and smoothing: Explaining current and deriving new algorithms., and . ACC, page 1807-1812. IEEE, (2011)Safe Trajectory Sampling in Model-Based Reinforcement Learning., , , , , and . CASE, page 1-6. IEEE, (2023)Submodular Kernels for Efficient Rankings., , and . CoRR, (2021)