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Truncated horizon Policy Search: Combining Reinforcement Learning & Imitation Learning.

, , и . ICLR (Poster), OpenReview.net, (2018)

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Konrad Boots

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Incremental Sparse GP Regression for Continuous-Time Trajectory Estimation and Mapping., , и . ISRR (2), том 3 из Springer Proceedings in Advanced Robotics, стр. 545-561. Springer, (2015)Two Manifold Problems with Applications to Nonlinear System Identification., и . ICML, icml.cc / Omnipress, (2012)A Reduction from Reinforcement Learning to No-Regret Online Learning., , , и . AISTATS, том 108 из Proceedings of Machine Learning Research, стр. 3514-3524. PMLR, (2020)Closing the learning-planning loop with predictive state representations., , и . Int. J. Robotics Res., 30 (7): 954-966 (2011)Imitation learning for agile autonomous driving., , , , , , и . Int. J. Robotics Res., (2020)Information Theoretic Model Predictive Q-Learning., , , и . L4DC, том 120 из Proceedings of Machine Learning Research, стр. 840-850. PMLR, (2020)Reduced-Rank Hidden Markov Models., , и . AISTATS, том 9 из JMLR Proceedings, стр. 741-748. JMLR.org, (2010)Deeply AggreVaTeD: Differentiable Imitation Learning for Sequential Prediction., , , , и . ICML, том 70 из Proceedings of Machine Learning Research, стр. 3309-3318. PMLR, (2017)The Nonparametric Kernel Bayes Smoother., , , , и . AISTATS, том 51 из JMLR Workshop and Conference Proceedings, стр. 547-555. JMLR.org, (2016)Combining pretrained CNN feature extractors to enhance clustering of complex natural images., , , , и . CoRR, (2021)