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A Brief Survey of Deep Reinforcement Learning

, , , and . (2017)cite arxiv:1708.05866Comment: IEEE Signal Processing Magazine, Special Issue on Deep Learning for Image Understanding (arXiv extended version).
DOI: 10.1109/MSP.2017.2743240

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Submodular Kernels for Efficient Rankings., , and . CoRR, (2021)A general perspective on Gaussian filtering and smoothing: Explaining current and deriving new algorithms., and . ACC, page 1807-1812. IEEE, (2011)Queer In AI: A Case Study in Community-Led Participatory AI., , , , , , , , , and 39 other author(s). CoRR, (2023)State-Space Inference and Learning with Gaussian Processes., , and . AISTATS, volume 9 of JMLR Proceedings, page 868-875. JMLR.org, (2010)Deep Reinforcement Learning: A Brief Survey., , , and . IEEE Signal Process. Mag., 34 (6): 26-38 (2017)Finite-Horizon Optimal State-Feedback Control of Nonlinear Stochastic Systems Based on a Minimum Principle., , , , and . MFI, page 371-376. IEEE, (2006)Safe Trajectory Sampling in Model-Based Reinforcement Learning., , , , , and . CASE, page 1-6. IEEE, (2023)Matern Gaussian processes on Riemannian manifolds., , , and . CoRR, (2020)Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control., and . AISTATS, volume 84 of Proceedings of Machine Learning Research, page 1701-1710. PMLR, (2018)Model-based imitation learning by probabilistic trajectory matching., , , and . ICRA, page 1922-1927. IEEE, (2013)